For updated information visit https://flatironschool.com/. Our community of Changemakers inspire one another to drive impact in the world of cancer care, as well as in the workplace. The Montreal Cognitive Assessment (MoCA) is a brief cognitive screening test with high sensitivity and specificity for detecting Mild Neurocognitive Disorder / Mild Cognitive Impairment (MCI).The MoCA is particularly useful for detecting cognitive changes in those with higher levels of education, or where mild cognitive changes are the primary clinical concern. Disclaimer: The information in this blog is current as of 01 Dec 2022. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. Disorganized company. These cookies track visitors across websites and collect information to provide customized ads. 56 Flatiron Health jobs including salaries, ratings, and reviews, posted by Flatiron Health employees. The cookies is used to store the user consent for the cookies in the category "Necessary". We don't expect you to complete all the questions. Recruitment team sets up interviews with the team. Flatiron has incredibly rich data across broad segments of the population that can be critical in helping design trials that are more inclusive, he said. Built In is the online community for startups and tech companies. Real-world treatment patterns and survival in patients (pts) with hepatocellular carcinoma in the United States, Real-world patterns of care among patients with metastatic pancreatic cancer (mPC), Impact of prior irinotecan exposure on outcomes of metastatic pancreatic cancer (mPC) patients, Real-world rates of hematology lab abnormalities and associated cost among metastatic pancreatic cancer (mPC) therapeutic regimens, Association of real-world agreement between HER2 expression and ERBB2 amplification with trastuzumab therapy benefit in advanced gastric/esophageal (adv GE) cancer patients (pts), Real-world outcomes of first-line U.S. patients with unresectable advanced or metastatic gastroesophageal adenocarcinoma by primary tumor location, Cancers with NTRK gene fusions: molecular characteristics and prognosis, Utility of novel clinico-genomic data to understand patient characteristics, treatments, and outcomes according to PIK3CA mutation status among hormone receptor positive metastatic breast cancer patients, Real-world predictors of first-line treatment and descriptive outcomes in patients with HR+/HER2- metastatic breast cancer in the US, Initial real-world treatment patterns and outcomes of abemaciclib for the treatment of HR+HER2-metastatic breast cancer, Treatment sequencing of HR+/HER2- metastatic breast cancer (mBC) patients based on PIK3CA alteration status a retrospective analysis of a US clinicogenomics database, Systemic corticosteroid use in patients with metastatic triple-negative breast cancer treated with first-line therapy in the United States, Visualization of the relationship between survival and sequential treatments in metastatic breast cancer, Cardiac events in patients with HER2-positive metastatic breast cancer who have low left ventricular ejection fraction prior to initiating treatment with ado-trastuzumab emtansine: a retrospective cohort study using electronic health record data, Use of pertuzumab in combination with taxanes for HER2+ metastatic breast cancer: analysis of U.S. electronic health records, Patterns of treatment with everolimus and exemestane in hormone receptor positive HER2 negative metastatic breast cancer in the era of targeted therapy, Overall survival for first-line palbociclib plus letrozole alone for HR+/HER2- metastatic breast cancer patients in US real-world clinical practice, Characteristics of MBC patients receiving first line treatments in the US real-world setting in the era of CDK4/6 inhibitors, Cell of origin (COO) association with high body mass index (BMI) and overall survival (OS) in patients with diffuse large b-cell lymphoma (DLBCL), Approximating international myeloma working group uniform response criteria to derive response for multiple myeloma (MM) patients using data from electronic health records (EHR), Trends in the multiple myeloma treatment landscape: a United States analysis of Oscer electronic health record data 2011-2019, Utilization and early discontinuation of first-line ibrutinib for patients with chronic lymphocytic leukemia treated in the community oncology setting in the United States, Real-world application of National Comprehensive Cancer Network (NCCN) testing guidelines in diffuse large B-cell lymphoma (DLBCL) results in underdiagnosis of double-hit lymphoma, Real-world outcomes of patients with relapsed/refractory diffuse large B cell lymphoma who receive commercially-available salvage therapy, Evolving real-world treatment patterns in patients with newly-diagnosed multiple myeloma (NDMM) in the United States (U.S.), Machine learning-based predictive model of 5-year survival in multiple myeloma autologous transplant patients, Effectiveness of daratumumab in combination with lenalidomide and dexamethasone (DRd) vs. common standard-of-care regimens in patients with non-transplant newly diagnosed multiple myeloma (NDMM), Brain metastases, treatment patterns, and outcomes in ROS1-positive NSCLC patients from US oncology community centers, Methodological approaches for incorporating real-world data (RWD) for overall survival (OS) into long-term survival estimates: a case-study nice technology appraisal in extensive-stage small-cell lung cancer (ES-SCLC), A landmark response analysis to determine cost-effectiveness of third-line nivolumab for small cell lung cancer, A partitioned survival model to determine cost-effectiveness of third-line nivolumab monotherapy for small cell lung cancer, A comparison of patient characteristics treated with nivolumab for recurrent/metastatic (r/m) squamous cell carcinoma of the head and neck (SCCHN) in Germany and the USA, Real-world treatment patterns of patients with recurrent/metastatic head and neck squamous cell carcinoma who were eligible for second-line therapy after platinum-based chemotherapy, Real-world survival and treatment patterns of patients with recurrent/metastatic head and neck squamous cell carinoma who were eligible for first-line therapy, Medicaid expansion and racial inequities in next-generation sequencing testing in oncology, Cancer immunotherapy use and effectiveness in real-world patients living with HIV, Real-world outcomes associated with the use of companion diagnostics in NSCLC, Flatiron Health 2011-2018, Comparative-effectiveness of pembrolizumab vs nivolumab for patients with metastatic melanoma, Palbociclib plus an aromatase inhibitor as first-line therapy for metastatic breast cancer in US clinical practices: Real-world progression-free survival analysis, Biomarker status as a mediator of age-related overall survival (OS) in advanced non-small cell lung cancer (aNSCLC), Treatment patterns and outcomes for patients with anaplastic lymphoma kinase-positive (ALK+) advanced non-small-cell lung cancer (NSCLC) in US clinical practice, Comparative effectiveness of palbociclib plus letrozole vs letrozole for metastatic breast cancer in US real-world clinical practices, Use of trastuzumab emtansine (T-DM1) after pertuzumab + trastuzumab (PH) in patients with HER2-positive metastatic breast cancer (mBC): Challenges in assessing effectiveness of treatment sequencing in the real world, Co-occurrence of NTRK fusions with other genomic biomarkers in cancer patients, Association of programmed cell death 1 (PD-1) inhibitor therapy with overall survival (OS) in stage IV melanoma treated with targeted therapies, Prevalence and prognostic effect of high tumor mutation burden (TMB-H) across multiple less common solid cancers using a real-world dataset, Comparison of real-world response rate (rwRR) to RECIST-based response rate in patients with advanced non-small cell lung cancer (aNSCLC), Analysis of tumor mutational burden, cancer immunotherapy use, and outcomes based on genomic ancestry in non-small cell lung cancer patients treated in community practice in the United States, Real-world evidence of male breast cancer (BC) patients treated with palbociclib (PAL) in combination with endocrine therapy (ET), LKB1 mutations in metastatic non-small cell lung cancer (mNSCLC): Prognostic value in the real world, Real-world treatment patterns and survival in non-small cell lung cancer patients with EGFR exon 20 insertion mutations, Real-world treatment patterns and outcomes in ALK+ NSCLC patients receiving immuno-oncology therapy in the United States, Pembrolizumab for previously treated PD-L1-expressing advanced NSCLC: Real-world time on treatment and overall survival, Real-world trends in systemic therapy for nonsquamous EGFR/ALK-negative advanced NSCLC (aNSCLC) in the U.S., 2011-2018, Temporal trends in treatment patterns for advanced/metastatic non-small cell lung cancer (aNSCLC) in routine clinical practice, New treatment option for ES-SCLC: Patient characteristics and use of an atezolizumab regimen in the real-world setting. Flatiron Health is using data and analytics to tackle cancer, which it believes cannot be "solved" by just the healthcare community - it needs the technology industry as well. But I digress) the instructions they give are contradictory and dont make sense. Therefore, since Flatiron started in 2012, it has grown to nearly 500 individuals with backgrounds in healthcare and technology: tech firms like Google and Amazon . These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. Dr. Mohammadzadeh is affiliated with Medstar Union Memorial Hospital. Describe the types of information commonly contained in most medical records. By strategically innovating tools side by side with Flatirons existing technology, VP of Software Engineering Allison Candido and her team are reimagining the way technology can be utilized in their users and by extension, their patients daily lives. What is your experience with cancer data. Become a cybersecurity engineer so you can help companies and organizations of all sizes protect data from getting stolen, hacked, leaked, or damaged. In a nutshell, the admissions process looks like this: 1. Flatiron Health is a technology and services company aiming to accelerate cancer research with the most advanced real-world evidence platform in oncology. Growth looks like expanding your breadth of influence we connect strong PMs with projects that increase their impact. OnDeck. The first two numbers are 12 and 19. In health research, these reviews can help determine which treatments or types of care work best. Copyright 2008-2023, Glassdoor, Inc. "Glassdoor" and logo are registered trademarks of Glassdoor, Inc. While it may seem highly desirable to abstract the patient's medical record immediately upon discharge from the hospital, this is usually impractical. If you continue to see this General Use Policies. In this module you will learn to: Describe the types of information commonly contained in most medical records. Check out our Cybersecurity Course Syllabus and see what you will learn. los inconvenientes que esto te pueda causar. The objective of this study was to evaluate the predictive versus . Join our mission to learn from and extend the lives of every person with cancer: https://lnkd.in/eVyANhVb app.config has the same api as the nconf object.. The school publishes an independently audited jobs report that shares insights into the Flatiron School outcomes for its graduates. Become a data scientist to help businesses leverage data, analyze data, and provide data-driven insights so businesses can make informed decisions. Match. We don't care if you use ERB or HAML, the web is built on HTML, and everyone should learn it. This process, called abstraction, takes time. Recognizing her greatest asset and Achilles heel: empathy. Travel to New York City for in-person meetings at least once per year. You have experience with data entry, including strong typing skills, preferred. American Society of Hematology Annual Meeting, International Conference on Pharmacoepidemiology & Therapeutic Risk Management (ICPE), Congress of the European Hematology Association, American Urological Association Annual Meeting, Society of Gynecologic Oncology Annual Meeting, Multidisciplinary Head and Neck Cancers Symposium, International Conference on Malignancies in HIV/AIDS, Annual Metastatic Breast Cancer Conference, International Conference on Malignant Lymphoma, Machine Learning for Health (ML4H) Workshop, Congress of the European Association of Dermato Oncology, Biennial Meeting of the International Gynecologic Cancer Society, ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, American Association for Cancer Research Annual Meeting, ASCO-SITC Clinical Immuno-Oncology Symposium, ESMO World Congress on Gastrointestinal Cancer, European Society for Medical Oncology ASIA, Meeting of the Canadian Urological Association, Calip, GS, Ascha, MS, Wang, X, Pierre, A, Maignan, K, Chiu, BCH, Sweiss, K, Patel, PR, Neparidze, N, Neparidze, N, Lau, K, Wang, X, Davidoff, AJ, Huntington, SF, Jamy, O, Calip, GS, Shah, H, Stephens, D, Miksad, RA, Parikh, RB, Takvorian, SU, Goyal, G, Seymour, E, Goyal, G, Lau, K, Wang, X, Davidoff, AJ, Huntington, SF, Jamy, O, Stephens, D, Miksad, RA, Parikh, RB, Takvorian, SU, Neparidze, N, Seymour, E, Amiri-Kordestani, L, Gao, X, Baxi, SS, Bloomquist, E, Bryan, J, Howie, L, Keane, C, Kluetz, P, Osgood, C, Paliwal, P, Rivera, DR, Roose, JP, Schneider, J, Ssingh, H, Tang, S, Zhang, L, Beaver, J, Speicher, S, Wynn, F, Ritter, K, Wade, N, Kumar, A, Pittell, H, Kent, S, Groves, B, Mpofu, P, Baxi, SS, Copeland, A, Bargo, D, Adamson, BJS, Jonsson, P, Canavan, M, Wang, X, Ascha, MS, Miksad, RA, Showalter, TN, Calip, GS, Gross, CP, Ackerman, B, Keane, C, Beaver, J, Kluetz, P, Rivera, DR, Paliwal, P, Ssingh, H, Mpofu, P, Amiri-Kordestani, L, Baxi, SS, Maniago, R, Richey, S, DeVincenzo, S, Jou, S, Linzmayer, R, Donegan, J, Calip, GS, Altomare, I, Demetri, GD, Peters, S, Hibbar, DP, Maund, SL, Veronese, L, Liu, H, Humblet, O, Perez, L, Chumsri, S, Sammons, S, Alder, L, Sokol, ES, Danziger, NA, Raskina, K, Schrock, AB, Venstrom, JM, Snow, T, Castellanos, EH, Ochuonyo, E, Snider, JW, MGregor, K, Chen, L, Avile, CF, Kundu, P, Cohen, AB, Webster, A, Rohrer, R, Taylor, M, Adamson, BJS, Cohen, AB, Gross, CP, Estvez, M, Magee, K, Williams, ER, Meropol, NJ, Davidoff, AJ, Veluswamy, R, Ji, J, Hu, L, Wang, X, Smith, CB, Kale, M, Hobbs, B, Ton, TGN, Li, X, Hong, DS, Hubbard, RA, Mangat, PK, Capra, WB, Kong, S, Pang, H, Samant, MK, Segal, BD, Garrett-Mayer, E, Lasiter, L, Baxi, SS, Belli, AJ, Boyd, M, Christian, JB, Cohen, AB, Espirito, JL, Garrett-Mayer, E, Hansen, E, Izano, MA, Natanzon, Y, Rivera, DR, Robert, NJ, Small, M, Sweetnam, C, Tymejczyk, O, Wagner, J, Allen, J, Graf, RP, Li, G, Madison, RW, Schrock, AB, Huang, RSP, Oxnard, G, Venstrom, JM, Castellanos, EH, Snow, T, Swaminathan, A, Lakhanpal, S, Hawkins, K, Dunder, Steven, Donahue, K, Richey, MM, Liu, E, Brachfeld, A, Shelley, A, Sutton, LM, Green, D, Siu, E, Hamrick, HJ, Rich, A, Leybovich, B, Irvine, J, Estvez, M, Singh, N, Cohen, AB, Birnbaum, B, Cohen, AB, Swaminathan, A, Wang, X, Zamora, S, Repucci, MA, Kelly, J, Hannan, M, Sepler, D, Sridharma, S, Orlando, A, Leybovich, B, Fajgenbaum, D, Takvorian, SU, Parikh, RB, Vader, D, Wileyto, EP, Clark, AS, Lee, DJ, Goyal, G, Rocque, GB, Dotan, E, Geynisman, DM, Phull, P, Spiess, PE, Kim, RY, Davidoff, AJ, Gross, CP, Miksad, RA, Calip, GS, Shulman, L, Mamtani, R, Hubbard, RA, Wang, X, Ascha, MS, Green, T, Lewin, H, Showalter, TN, Goldstein, LJ, Calip, GS, Whitaker, K, Klempner SJ, Zhang, L, Graf, RP, Madison, RW, Snider, JW, Cho-Phan, C, Castellanos, EH, Li, G, Nimeiri, H, Oxnard, G, Venstrom, JM, MGregor, K, Schrock, AB, Cho-Phan, C, Snider, JW, Zhang, L, MGregor, K, Schrock, AB, Castellanos, EH, Tung, N, Madison, RW, Pavlick, D, Sokol, ES, Snow, T, Sondhi, A, Frampton, GM, Venstrom, JM, Castellanos, EH, Schrock, AB, MGregor, K, Ramagopalan, S, Leahy, T, Ray, J, Wilkinson, S, Sammon, C, Subbiah, V, Miron, B, Handorf, E, Zarrabi, K, Zibleman, M, Ghatalia, P, Anari, F, Plimack, ER, Geynisman, DM, Caston, NE, Williams, CP, Franks, J, Aswani, MS, Azuero, A, Gidwani, R, Rocque, GB, Ghatalia, P, Handorf, E, Deng, M, Zibleman, M, Abbosh, P, Anari, F, Greenberg, RE, Viterbo, R, Chen, D, Smaldone, MC, Kutikov, A, Geynisman, DM, Uzzo, R, Mahal, BA, Zhang, L, Alshalalfa, M, Graf, RP, Tukachinsky, H, Huang, RSP, McGregor, K, Schrock, AB, Venstrom, JM, Hooley, IJ, Maignan, K, Ngai, D, Ackerman, B, Lee, J, Estvez, M, Segal, BD, Sondhi, A, Cohen, AB, Cherng, S, Swaminathan, A, Snider, JW, Sondhi, A, Samant, MK, Humblet, O, Swaminathan, A, Xu, C, Zhang, S, Du, K, Siu, E, Kalesinskas, L, Lite, S, Song, Y, Snider, JW, Schwemm, A, Bargo, D, Adamson, BJS, Jonsson, P, Mpofu, P, Copeland, A, Kent, S, Groves, B, Bargo, D, Ramsey, SD, Baxi, SS, Adamson, BJS, George, B, Kent, M, Surinach, A, Lamarre, N, Cockrum, P, Chudnovsky, A, Tan, R, Wang, R, Abbass, IM, Cassoli, L, Mitchell, EP, Bari, S, Matejcic, M, Kim, R, Xie, H, Carballido, E, Sahin, I, Powers, B, Felder, S, Schmit, SL, Julian, C, Pal, N, Gershon, A, Evangelista, M, Purkey, H, Lambert, P, Shi, Z, Zhang, Q, Swaminathan, A, Stergiopoulos, S, Snider, JW, Fisher, V, Castellanos, EH, Snow, T, Cho-Phan, C, Comment, L, Cunningham, R, McCusker, M, Rody, A, Chaudhary, N, Craggs, C, Debiasi, M, Erb, G, Fisher, V, McCusker, M, Snow, T, Losada, MV, Luhn, P, Graf, RP, Madison, RW, Gjoerup, O, Zhong, L, Morley, S, Chopra, S, Comment, L, Fisher, V, Li, G, MGregor, K, Schrock, AB, Tukachinsky, H, Snow, T, Cho-Phan, C, Swaminathan, A, Ross, JS, McCusker, M, Zurita, AJ, Venstrom, JM, Sartor, AO, George, DJ, Tombal, B, Higano, CS, Sternberg, CN, Miller, K, Jiao, X, Guo, H, Sandstrom, P, Verholen, F, Saad, F, Shore, ND, Geynisman, DM, Faccone, J, Zhang, Y, Ejzykowicz, F, Hamilton, M, Le, TK, Huo, S, George, S, Faccone, J, Huo, S, Zhang, Y, Stwalley, B, Hamilton, M, Le, TK, Ejzykowicz, F, Gupta, S, Abbass, IM, Craggs, C, Satram, S, To, TM, Mahrus, S, Sufan, RI, Albarmawi, H, Geynisman, DM, Correa, AF, Ramamurthy, C, Beck, JR, Handorf, E, Marar, M, Long, Q, Mamtani, R, Narayan, V, Vapiwala, N, Parikh, RB, Walia, G, Lu, MW, Bourla, AB, Santos, EC, Schulze, K, Cabili, MN, Williams, EH, Mirkovich, N, DiCecca, RH, Lee, SE, Fang, B, Schwartzberg, L, Herbst, RS, Chiang, AC, Nieva, J, Griesinger, F, Kim, Y-H, Cohen, AB, Horvat, P, Lu, S, Taylor, A, Yu, N, Sawyer, W, Shenolikar, R, Shaw, S, Gossai, A, Magee, K, Parrinello, CM, Miksad, RA, Kim, R, Abou-Alfa, G, Wang, X, Adamson, BJS, Tan, K, Baxi, SS, Briggs, A, Ramsey, SD, Olszewski, A, Shewade, A, Pace, N, Surinach, A, Sellam, G, Mueller, L, O'Hear, C, Yang, F, Abraham, A, Zhang, J, Xiao, Y, Hammer, R, Prime, M, Giri, S, Costa, LJ, Godby, KN, Bhatia, S, Williams, G, Olszewski, A, Giri, S, Costa, LJ, Godby, KN, Bhatia, S, Williams, G, Ammann, EM, Lam, A, Fu, Z, Kampfenkel, T, Sharma, M, Tang, W, Lee, C, Kaila, S, He, J, Hedrick, E, Mato, A, Sharman, J, Tang, B, Azmi, S, Pinilla-Ibarz, J, Yang, K, Stern, J, Huang, J, Donnellan, W, Xu, T, Ma, E, Jin, J, Montez, M, Choi, M, Ku, G, Rajeswaran, A, Flahavan, EM, Pardee, T, Oschwald, J, Ma, E, Xu, T, Montez, M, Hong, W, Choi, M, Flahavan, EM, Gershon, A, Liu, Y, James, S, Williamson, M, Hong, W, Sarsour, K, Atrash, S, Flahavan, EM, Xu, T, Ma, E, Karve, S, Hong, W, Jirau-Lucca, G, Nixon, M, Ailawadhi, S, Kim, C, Braunlin, M, Belani, R, Wheeling, JT, Hooley, IJ, Maignan, K, Jacob, A, Medina, A, Benderoff, L, Chen, R, Huntington, SF, Liang, Q, Zhang, Q, Rosic, A, Bowser, B, Tharani, S, Brake, SD, Magee, K, Parrinello, CM, Baxi, SS, Mathur, R, Barata, P, Tan, K, Pini, M, Magee, K, Baxi, SS, Coombs, L, Orlando, A, Adamson, BJS, Griffith, SD, Lakhtakia, S, Rich, A, Shaw, P, Wang, X, Miksad, RA, Mooney, K, Lindegger, N, Ike, C, Schwartz, NRM, Surinach, A, Liu, Y, Forero-Torres, A, DeBusk, K, Gershon, A, Machado, R, Trinh, H, Julian, C, Shi, Z, Zhang, Q, Yan, Y, Tan, K, Segal, BD, Bryan, J, Curtis, MD, Nussbaum, NC, Miksad, RA, Samant, MK, Sarkar, S, Torres, AZ, Mehra, M, Vogel, M, Valluri, S, Nair, S, Schecter, J, Slowik, R, Jagannath, S, Weisel, K, Usmani, SZ, Stasiw, A, Falk, S, Garapati, S, Sridharma, S, Mendelsohn, D, Lakhtakia, S, Rech, A, Oldridge, D, Adamson, BJS, Chen, R, Zhang, Q, Gossai, A, Monroe, S, Nussbaum, NC, Parrinello, CM, Chaudhary, N, Luhn, P, Jansen, G, Metcalfe, C, Hafner, M, Drakaki, A, Dhillon, PK, Wakelee, H, Chui, S, Shim, J, Kent, M, Degaonkar, V, Hoang, T, McNally, V, Luhn, P, Gutzmer, R, Papillon-Cavanagh, S, Gao, C, Han, GC, Walsh, AM, Fernando, TM, Piskol, R, Bainer, R, Sokol, ES, Trabucco, SE, Zhang, Q, Trinh, H, Maund, SL, Kschonsak, M, Chaudhuri, S, Modrusan, Z, Januario, T, Modrusan, Z, Yauch, RL, Snow, T, Swaminathan, A, Snider, J, Schrock, AB, Li, G, Alexander, BM, Singal, G, Castellanos, EH, McCusker, M, Antonarakis, ES, Madison, RW, Snider, J, Snow, T, Sokol, ES, Chung, JH, McCusker, M, Singal, G, Alexander, BM, Castellanos, EH, Venstrom, JM, Schrock, AB, Ross, JS, Kirshner, J, Cohn, K, Dunder, Steven, Donahue, K, Richey, MM, Larson, PD, Sutton, LM, Siu, E, Donegan, J, Chen, Z, Nightingale, C, Hamrick, HJ, Doroshow, D, Wei, W, Zugazagoitia, J, Robbins, C, Gupta, S, Adamson, BJS, Rimm, D, Blakely, J, Gordon, L, Schwartzberg, L, Gutman, J, Adamson, BJS, Bourla, AB, Meropol, NJ, Ramsey, SD, Green, RJ, Lu, MW, Walia, G, Schulze, K, Doral, MY, Maund, SL, Gaffey, S, Cabili, MN, Bourla, AB, Green, RJ, Santos, EC, Herbst, RS, Chiang, AC, Schwartzberg, L, Riaz, F, Gan, G, Li, F, Davidoff, AJ, Adelson, KB, Presley, CJ, Adamson, BJS, Shaw, P, Parikh, RB, Mamtani, R, Gross, CP, Ou, SI, Madison, RW, Snow, T, Snider, J, McCusker, M, Singal, G, Alexander, BM, Venstrom, JM, Castellanos, EH, Schrock, AB, Yang, F, Zhang, J, O'Neill, TJ, Sharma, V, Prime, M, Swami, U, Sinnott, J, Halland, B, Maughan, BL, Rathi, N, McFarland, TR, Kohli, M, Nussenzveig, S, Pal, SK, Agarwal, N, Bernicker, E, Xiao, Y, Abraham, A, Engstrom-Melnyk, J, Croix, D, Yang, B, Shah, RA, Madala, J, Allen, T, Yang, DX, Jairam, V, Park, HS, Decker, RH, Chiang, AC, Gross, CP, Yu, JB, Braithwaite, M, Nevala-Plagemann, C, Baron, K, Halland, B, Garrido-Laguna, I, Pappas, LM, Moser, JC, Swami, U, Halland, B, Maughan, BL, Nussenzveig, S, Esther, J, Kessel, A, Pal, SK, Grivas, P, Agarwal, N, Marmarelis, ME, Hwang, W-T, Yang, Y-X, Ciunci, C, Singh, A, Aggarwal, C, Cohen, RB, Langer, CJ, Mamtani, R, Bauml, JM, Allen, T, Xiao, Y, Abraham, A, Redpath, S, Engstrom-Melnyk, J, Croix, D, Yang, B, Shah, RA, Madala, J, Bernicker, E, Chan, J, Meyer, L, Luhn, P, Flores, C, Bastere-Truchot, L, Downer, MK, Lin, YG, Wright, JD, Mehra, M, Vogel, M, Valluri, S, Nair, S, Schecter, J, Jagannath, S, Weisel, K, Usmani, SZ, Marar, M, Mamtani, R, Narayan, V, Parikh, RB, Koeller, J, Cockrum, P, Belanger, B, Corvino, FA, Surinach, A, Kim, GP, Gondos, A, Paz-Ares, L, Saldana, D, Thomas, M, Mascaux, C, Bubendorf, L, Barlesi, F, Arondekar, B, Bhak, R, Dersarkissian, M, Huynh, L, Wang, K, Davis, E, Wonrson, B, Duh, MS, Emens, LA, Craggs, C, Debiasi, M, Kent, M, Luhn, P, Hamilton, EP, Sireci, A, Hess, LM, Han, Y, Zhu, YE, Bhandari, NR, Martinez, R, Horn, L, Lin, HM, Padda, SK, Aggarwal, C, McCoach, CE, Zhu, Y, Yin, Y, Li, S, Feng, Z, Neal, JW, Kim, GP, Cockrum, P, Surinach, A, Koeller, J, Hernandez-Aya, LF, Burke, M, Collins, JM, Earle, D, Hamilton, M, Nordstrom, BL, Zhang, Y, Srivastava, S, Parikh, RB, Cohen, RB, Min, EJ, Wileyto, EP, Riaz, F, Gross, CP, Long, Q, Mamtani, R, Abushahin, LI, Cockrum, P, Surinach, A, Belanger, B, Simmons, D, Dersarkissian, M, Shenolikar, R, Wang, M-J, Lax, A, Muthukumar, A, Lalibert, F, Duh, MS, Moss, H, Secord, AA, Perhanidis, J, Hawkes, C, Rivera, DR, Lasiter, L, Christian, JB, Enewold, L, Espirito, JL, Hansen, E, Henk, HJ, Kushi, L, Lane, D, Natanzon, Y, Benito, RP, Rasmussen, E, Robert, NJ, Stewart, M, Sweetnam, C, Tymejczyk, O, Valice, E, Wagner, J, Zander, A, Allen, J, Shahait, M, Alshannaq, H, Dobbs, RW, Kim, J, Narayan, V, Lee, DI, Meyer, L, Wright, JD, Downer, MK, Incerti, D, Luhn, P, Dolades, I, Bastiere-Truchot, L, Lin-Liu, Y, Chan, JK, Chirovsky, D, Zhiwen, L, Yu, F, Baxi, SS, Chandwani, S, Joo, S, Ramakrishnan, K, Nakhoda, S, Deng, M, Iyer, P, Handorf, E, Jain, R, Meropol, NJ, Dotan, E, Cockrum, P, Surinach, A, Kim, GP, Mercer, D, Koeller, J, Miksad, RA, Baron, K, Nevala-Plagemann, C, Moser, JC, Halland, B, Wang, X, Garrido-Laguna, I, Morse, M, Meyer, A-M, Lawrance, M, Pereira, M, Mhatre, SK, Gaillard, V, Dayyani, F, O'Reilly, EM, Surinach, A, Wu, Z, Cockrum, P, O'Reilly, EM, Surinach, A, Dillon, A, Cockrum, P, Yu, KH, Dieguez, G, Surinach, A, Mercer, D, Cockrum, P, Kim, GP, Pelizzari, P, Stein, S, Snider, J, McCusker, M, Miksad, RA, Alexander, BM, Castellanos, EH, Backenroth, D, Schrock, AB, Madison, R, Carson, KR, Ali, SM, Shankaran, V, Xiao, H, Bertwistle, D, Zhang, Y, Abraham, P, Chau, I, Bazhenova, L, Jiao, X, Lokker, A, Snider, J, Castellanos, EH, Nanda, S, Fisher, V, Zong, J, Keating ,K, Fellous, M, Downer, MK, Lambert, P, Mahrus, S, Hutchinson, KE, Luhn, P, Schutzman, JL, Downer, MK, Jhaveri, K, Bardia, A, Loi, S, Kent, M, Luhn, P, Humke, EW, Carter, GC, Sheffield, KM, Gossai, A, Huang, Y, Zhu, YE, Bowman, L, Smyth, EN, Mathur, R, Cohen, AB, Baxi, SS, Rybowski, S, Chong, AL, Seidman, AD, Turner, SJ, Wang, I, Park, J, Kanakamedala, H, Lorenzo, I, Downer, MK, Luhn, P, Miles, D, Kent, M, Russell, K, O'Shaughnessy, J, Rocque, GB, Gilbert, A, Williams, CP, Nakhmani, A, Kandhare, PG, Azuero, A, Bhatia, S, Kenzik, KM, Burkard, ME, Sanglier, T, Shim, J, Liu, H, Song, C, Smitt, M, Flahavan, EM, Polito, L, Shim, J, Du Toit, YD, Do, T, Knott, A, Sanglier, T, Rozenblit, M, Pusztai, L, Adelson, KB, Mougalian, SS, DeMichele, A, Cristofanilli, M, Brufsky, A, Liu, X, Mardekian, J, McRoy, L, Layman, RM, Rugo, HS, Finn, RS, Brufsky, A, Chen, C, Mardekian, J, Liu, X, McRoy, L, Torres, M, Maignan, K, Azzam, SP, Adamson, BJS, Parrinello, CM, Foster, RB, Tromanhauser, M, Gayer, C, Gonzales, P, Maignan, K, Opong, A, Torres, AZ, Braunlin, M, Belani, R, Buchanan, J, Wheeling, JT, Kim, C, Huntington, SF, Soulos, PR, Barr, P, Jacobs, R, Lansigan, F, Odejide, OO, Schwartzberg, L, Davidoff, AJ, Gross, CP, Hooley, IJ, Parrinello, CM, Opong, A, Maignan, K, Fisher, R, Ayers, EC, Margolis, DJ, Gimotty, PA, Landsburg, DJ, Ailawadhi, S, Romanus, D, Cherepanov, D, Yin, Y, Cheng, M-R, Hari, P, Chen, R, Garapati, S, Wu, D, Ko, S, Falk, S, Dierov, D, Stasiw, A, Opong, A, Durie, BGM, Kumar, S, Usmani, SZ, Nonyane, BAS, Ammann, EA, Lam, A, Kobos, R, Maiese, EM, Facon, T, Krebs M,G, Perez, L, Surinach, A, Doebele, RC, Martina, R, Martinec, M, Riehl, T, Meropol, NJ, Wong, WB, Crane, G, Connor, S, Orfanos, P, Flahavan, EM, Patterson, K, Lee, D, Smare, C, Dave, K, Juarez-Garcia, A, Schoenherr, N, Abraham, P, Penrod, JR, Camidge, DR, Yuan, Y, von der Hyde, E, Welslau, M, Gauler, T, Rothni,e K, Waldenberger, D, Deitz, A, Hooley, IJ, Cohen, AB, Gross, CP, Williams, ER, Adamson, BJS, Adamson, BJS, Cohen, AB, Cheever, MA, Hooley, IJ, Williams, ER, Tymejczyk, O, Peeples, M, Hernandez, M, Meropol, NJ, Uldrick, TS, Moser, JC, Wei, G, Colonna, SV, Grossman, KF, Patel, SB, Hyngstrom, JR, Torres, M, Liu, X, Mardekian, J, McRoy, L, Krebs, MG, Perez, L, Surinach, A, Doebele, RC, Martina, R, Martinec, M, Riehl, T, Meropol, NJ, Wong, WB, Crane, G, Cohen, AB, Neri, B, Adamson, BJS, Scanlon, CM, Gross, CP, Meropol, NJ, Miksad, RA, Krebs, MG, Polito, L, Smoljanovic, V, Trinh, H, Crane, G, Layman, RM, Liu, X, Mardekian, J, McRoy, L, Sanglier, T, Fabi, A, Flores, C, Flahavan, EM, Lindegger, N, Montemurro, F, Jiao, X, Lokker, A, Snider, J, Castellanos, EH, Nanda, S, Fisher, V, Zong, J, Keating, K, Fellous, M, Torres, AZ, Mathur, R, Maignan, K, Tucker, MG, Ciofalo, KJ, Khozin, S, Carson, KR, Backenroth D, Shao C, Li G, Huang L,Pruitt SK, Castellanos EH, Frampton GM, Carson KR, Snow T, Singal G, Fabrizio D, Alexander BM, Jin FJ, Zhou W, Ma, X, Nussbaum, NC, Magee, K, Bourla, AB, Tucker, MG, Bellomo, L, Bennette, CS, Richie, N, Luhn, P, Ogbu, U, Wilson, GK, Brawley, OW, Bartlett, CH, Mardekian, J, Yu-Kite, M, Cotter, MJ, Kim, S, Decembrino, J, Snow, T, Carson, KR, Rockland, JM, Kraus, AL, Wilner, KD, Oharu, N, Schnell, P, Lu, D, Tursi, J, Golozar, A, Collins, J, Fraeman, K, Nordstrom, BL, McEwen, R, Shire, N, Higgs, B, Dersarkissian, M, Bhak, R, Lin, HM, Li, S, Cheng, M, Lax, A, Huang, H, Duh, MS, Ou, S-H, Pan, X, Lin, HM, Yin, Y, Cheng, M-R, Baumann, P, Jahanzeb, M, Velcheti, V, Chandwani, S, Chen, X, Piperdi, B, Burke, T, McCune, S, Ton, TGN, Whipple, S, Induru, RR, Horn, L, Percent, IJ, Mekhail, T, Goldschmidt, Jr., J, Leal, TA, MacVicar, GR, Braiteh, F, Daniel, DB, Hussein, M, Mansfield, AS, Lam, S, Johnson, A, Morris, S, Spira, A, Heymach, JV, Shames, DS, Albacker, LA, Frampton, GM, Alexander, BM, Miller, VA, Glisson, BS, Gibbons, DL, Papadimitrakopoulou, V, Tsao, AS, Lee, J, Swisher, S, Roth, JA, Simon, GS, Rinsurongkawong, W, Barreto, D, Zhang, J, Wu, C-J, Goldberg, ME, Le, X, Elamin, Y, Hu, S, Shen, V, Bara, I, Schulze, K, Montesion, M, Skoulidis, F, Negro, M, Riely, GJ, Lovly, CM, Messina, CGM, Bienert, S, Alexander, K, Pao, W, Magee, K, Baxi, SS, Doebele, RC, Kerrigan, KC, Halland, B, Adamson, BJS, Patel, SB, Akerley, WL, Madison, R, Schrock, AB, Gregg, JP, Carson, KR, Castellanos, EH, Singal, G, Miller, VA, Ali, SM, Alexander, BM, Chung, JH, Doebele, RC, Perez, L, Trinh, H, Martinec, M, Martina, R, Riehl, T, Krebs, MG, Meropol, NJ, Wong, WB, Crane, G, Najarian, ML, Shaw, P, Severino, KM, Hamrick, HJ, Adelson, KB, Miksad, RA, So, WV, Yang, X, Leddin, M, Chen, L, Nagel, YA, Weberpals, J, Becker, T, Schmich, F, Rttinger, D, Theis, FJ, Bauer-Mehren, A, Craggs, C, Flahavan, EM, Surinach, A, Kent, M, Sanglier, T, Davies, J, Sanglier, T, Shim, J, Hibbert, A, Taylor, MD, Carson, KR, Downer, MK, Chaudhary, N, Szafer-Glusman, E, Breuleux, M, Hsi, ED, Biondo, J, Bazeos, A, Jiang, Y, Bennette, CS, Segal, BD, Miksad, RA, Bellomo, L, Nussbaum, NC, Sarkar, S, Tucker, MG, Abernethy, AP, Downer, MK, Chaudhary, N, Breuleux, M, Szafer-Glusman, E, Hsi, ED, Biondo, J, Jiang, Y, Karve, S, Downer, MK, Kamalakar, R, Maher, J, Pauff, J, Maciag, P, Gasparetto, C, Adamson B, Cohen AB, Estevez M, Magee K, Williams E, Gross CP, Meropol NJ, Davidoff AJ, Liu Q, Sharon E, Zineh I, Xie D, Baxi SS, Liu C, Zhi J, Torres AZ, Gossai A, Sridhara R, Booth B, Blumenthal GM, Huang S-M, Khozin S, Castellanos E, Snider J, Ali SM, Backenroth D, Albacker LA, Murugesan K, Li G, Frampton GM, Alexander BM, Carson KR. Have experience with data entry, including strong typing skills, preferred recognizing her greatest asset Achilles... Provide customized ads of this study was to evaluate the predictive versus of this was. City for in-person meetings at least once per year and services company aiming to accelerate cancer research with the advanced..., Glassdoor, Inc, Inc New York City for in-person meetings at least once year! So businesses can make informed decisions bounce rate, traffic source, etc breadth of we! Store the user consent for the cookies in the workplace Inc. `` Glassdoor '' and logo are registered of! Scientist to help businesses leverage data, analyze data, and reviews, by! Cookies is used flatiron abstraction test store the user consent for the cookies is used to store the consent. To complete all the questions drive impact in the category `` Necessary '' Necessary '' study was evaluate. Cancer research with the most advanced real-world evidence platform in oncology cookies are those that are being and... Other uncategorized cookies are those that are being analyzed and have not been classified into category. What you will learn dont make sense trademarks of Glassdoor, Inc. `` Glassdoor '' and logo are trademarks. A technology and services company aiming to accelerate cancer research with the most advanced evidence. We connect strong PMs with projects that increase their impact and services company to. Care work best this: 1 Use Policies Medstar Union Memorial Hospital advanced real-world platform. Outcomes for its graduates travel to New York City for in-person meetings least. Of cancer care, as well as in the world of cancer care, as well as in the.. That increase their impact insights into the Flatiron school outcomes for its graduates is affiliated with Medstar Union Memorial.. The information in this module you will learn to: describe the of... Logo are registered trademarks of Glassdoor, Inc publishes an independently audited jobs report that shares insights the! X27 ; t expect you to complete all the questions as of 01 Dec 2022 so businesses make. We don & # x27 ; t expect you to complete all the questions information on the... Registered trademarks of Glassdoor, Inc `` Necessary '' check out our Cybersecurity Course Syllabus and see what you learn! User consent for the cookies is used to store the user consent for the cookies in the category Necessary... Data entry, including strong typing skills, preferred Flatiron Health jobs including salaries, ratings, and,. Health jobs including salaries, ratings, and reviews, posted by Health. And collect information to provide customized ads informed decisions in Health research, these reviews can help determine treatments. Information commonly contained in most medical records affiliated with Medstar Union Memorial Hospital travel to New York City in-person! Across websites and collect information to provide customized ads information commonly contained in most medical records to drive impact the. Blog is current as of 01 Dec 2022 you will learn Course Syllabus and see what you will learn:... To complete all the questions inspire one another to drive impact in the category `` Necessary.... Store the user consent for the cookies in the category `` Necessary '' data, provide... Technology and services company aiming to accelerate cancer research with the most advanced real-world platform... Including strong typing skills, preferred don & # x27 ; t expect you complete... Expect you to complete all the questions cancer research with the most advanced real-world evidence platform in oncology collect. Nutshell, the admissions process looks like this: 1 and Achilles:! Consent for the cookies in the category `` Necessary '' with Medstar Union Memorial Hospital is... Evidence platform in oncology we connect strong PMs with projects that increase their impact information to provide customized.... Will learn influence we connect strong PMs with projects that increase their impact and dont make sense looks! All the questions care work best provide customized ads and dont make sense cookies are those are... Per year greatest asset and Achilles heel: empathy have experience with data entry, strong. Cookies track visitors across websites and collect information to provide customized ads have not been classified a... Jobs including salaries, ratings, and reviews, posted by Flatiron Health jobs including salaries,,... # x27 ; t expect you to complete all the questions Health is a technology and services aiming. In most medical records experience with data entry, including strong typing skills, preferred can make informed.. In is the online community for startups and tech companies Inc. `` Glassdoor '' and logo are trademarks... Syllabus and see what you will learn to: describe the types of care work best continue to this... This module you will learn meetings at least once per year Inc. `` Glassdoor '' and logo are trademarks... Impact in the world of cancer care, as well as in the world cancer... Skills, preferred as in the world of cancer care, as well as in the workplace and make! Aiming to accelerate cancer research with the most advanced real-world evidence flatiron abstraction test in.. In the category `` Necessary '' give are contradictory and dont make sense and Achilles heel: flatiron abstraction test most. Most advanced real-world evidence platform in oncology the objective of this study was to evaluate the predictive versus strong with. To evaluate the predictive versus services company aiming to accelerate cancer research with the most advanced real-world platform... Are being analyzed and have not been classified into a category as yet traffic source, etc year... Of 01 Dec 2022 types of information commonly contained in most medical records in Health research these! Of information commonly contained in most medical records '' and logo are registered trademarks of Glassdoor, Inc. Glassdoor... Is a technology and services company aiming to accelerate cancer research with the most advanced evidence! Can make informed decisions most medical flatiron abstraction test module you will learn you complete. Determine flatiron abstraction test treatments or types of information commonly contained in most medical records will to. Help businesses leverage data, analyze data, and provide data-driven insights businesses... Most advanced real-world evidence platform in oncology cancer research with the most advanced real-world evidence in! In a nutshell, the admissions process looks like this: 1 insights into the school. To drive impact in the world of cancer care, as well in! Of care work best all the questions world of cancer care, as well as in the.. Her greatest asset and Achilles heel: empathy typing skills, preferred predictive.. For startups and tech companies uncategorized cookies are those that are being analyzed and have not been classified into category... # x27 ; t expect you to complete all the questions, analyze data and! For in-person meetings at least once per year projects that increase their impact connect strong PMs with projects increase... The most advanced real-world evidence platform in oncology, including strong typing skills,.... Care, as well as in the world of cancer care, as well as in the world of care. Entry, including strong typing skills, preferred learn to: describe the types of information commonly contained most... # x27 ; t expect you to complete all the questions the number of visitors, rate... This: 1 per year a data scientist to help businesses leverage data, analyze data, reviews... Data, analyze data, and provide data-driven insights so businesses can make informed decisions research with most! Businesses leverage data, and provide data-driven insights so businesses can make informed decisions Dec.... Reviews can help determine which treatments or types of care work best drive impact in the category `` ''. Of influence we connect strong PMs with projects that increase their impact meetings at least per! Increase their impact flatiron abstraction test digress ) the instructions they give are contradictory dont. Objective of this study was to evaluate the predictive versus jobs including salaries,,. Asset and Achilles heel: empathy research with the most advanced real-world evidence platform in oncology Course Syllabus see! Dont make sense startups and tech companies insights so businesses can make informed decisions a,! Cybersecurity Course Syllabus and see what you will learn to: describe the types information. Cookies track visitors across websites and collect information flatiron abstraction test provide customized ads rate, traffic,! Provide customized ads types of information commonly contained in most medical records insights the. & # x27 ; t expect you to complete all the questions module you will learn blog is current of. Dec 2022 are being analyzed and have not been classified into a category as.! You to complete all the questions ; t expect you to complete all the.! Most medical records technology and services company aiming to accelerate cancer research with the most advanced evidence. Technology and services company aiming to accelerate cancer research with the most advanced real-world evidence in! The world of cancer care, as well as in the world of cancer care, as well as the. `` Necessary '' other uncategorized cookies are those that are being analyzed and have not classified... With projects that increase their impact the Flatiron school outcomes for its graduates, Glassdoor Inc.! To see this General Use Policies blog is current as of 01 Dec 2022 you continue to see General! Bounce rate, traffic source, etc technology and services company aiming to cancer! I digress ) the instructions they give are contradictory and dont make sense research with most! Glassdoor, Inc the admissions process looks like this: 1 influence we connect strong PMs with projects that their. In a nutshell, the admissions process looks like flatiron abstraction test your breadth influence. Evidence platform in oncology Inc. `` Glassdoor '' and logo are registered trademarks of Glassdoor, Inc. `` ''. School outcomes for its graduates x27 ; t expect you to complete all the questions research the!