Research Fellow jobs at Beth Israel Deaconess Medical Center - 71 jobs

A leading cancer research institute in Boston is looking for a Principal Artificial Intelligence & Machine Learning Engineer/Scientist I. This role involves working on short-term and long-term projects that revolutionize cancer research using AI and machine learning. Candidates should possess a Master's degree, have 8+ years of experience in AI/ML, and be proficient in Python. The position offers a competitive salary range of $154,000 to $184,500 and invites applicants committed to innovative cancer care. #J-18808-Ljbffr

A cancer research organization in Boston seeks a Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I. This role involves collaborating with physician scientists and leading research efforts. The ideal candidate has a Master's degree, 8+ years of experience in AI/ML, and strong Python skills. The position requires problem-solving abilities, team collaboration, and experience in clinical or research environments. A commitment to diversity and inclusion is essential for this role. #J-18808-Ljbffr

is for a Research Fellow at Dana-Farber. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. Wu Lab - Research Fellow Supported B At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $72,000.00 - $76,385.00

Site: Massachusetts General Physicians Organization, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The Roh Lab in the Massachusetts General Hospital (MGH) Cardiovascular Research Center is recruiting a post-doctoral fellow to be part of our American Heart Association Strategically Focused Research Network (SFRN) Center on pregnancy and cardiovascular-kidney-metabolic health. This position will focus on cell- and animal-based experimental studies that investigate the intersection between placental senescence, obesity, and cardiovascular disease. The overarching project will include extensive work with murine models, cardiovascular, renal, and metabolic phenotyping, senescence biology, advanced molecular biology techniques, and multi-omics. The fellow will work with a dedicated AHA SFRN team that consists of a diverse group of outstanding MGH investigators with expertise in aging biology, cardiovascular disease pathophysiology, and maternal fetal medicine. They will also be integrally involved in our AHA SFRN Center, and will collaborate with the Center's clinical and population science teams, along with investigators in the national AHA SFRN network. Ideal candidates will have a strong foundation in molecular biology, mouse models, multi-omics, and an interest in women's cardiovascular health and aging biology. A PhD in a basic science discipline is required. If interested in the position, please email a cover letter, CV, and three references to Dr. Jason Roh (email: ********************). Job Summary Summary Does this position require Patient Care? No Essential Functions Qualifications Education: PHD Can this role accept experience in lieu of a degree? No Licenses and Credentials Experience Knowledge, Skills and Abilities Additional Job Details (if applicable) Physical Requirements * Standing N/A = (0%) * Walking N/A = (0%) * Sitting N/A = (0%) * Lifting N/A = (0%) * Carrying N/A = (0%) * Pushing N/A = (0%) * Pulling N/A = (0%) * Climbing N/A = (0%) * Balancing N/A = (0%) * Stooping N/A = (0%) * Kneeling N/A = (0%) * Crouching N/A = (0%) * Crawling N/A = (0%) * Reaching N/A = (0%) * Gross Manipulation (Handling) N/A = (0%) * Fine Manipulation (Fingering) N/A = (0%) * Feeling N/A = (0%) * Foot Use N/A = (0%) * Vision - Far N/A = (0%) * Vision - Near N/A = (0%) * Talking N/A = (0%) * Hearing N/A = (0%) Remote Type Onsite Work Location 149 Thirteenth Street Building 149 Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) EEO Statement: 1300 Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: Massachusetts General Physicians Organization, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The laboratory of Dr. Michael Honigberg at the Massachusetts General Hospital Cardiovascular Research Center (CVRC) and Broad Institute of MIT & Harvard has a unique post-doctoral fellow position open for a highly qualified applicant interested in investigation at the intersection of cardiovascular, reproductive, and aging biology. The new hire will be appointed as a Research Fellow at the Massachusetts General Hospital and Post-Doctoral Fellow at Harvard Medical School. The Honigberg lab aims to advance mechanistic understanding of emerging cardiovascular risk factors and inform new paradigms for health promotion and disease prevention. Current projects focus on pregnancy (e.g., preeclampsia/eclampsia), menopause, aging biology, and novel lipid-modifying therapies, among other topics. This position will enable access to resources and opportunities across multiple world-class institutions. Individuals will work with a range of data types, including genetic datasets, including genotype arrays, whole exome and whole genome sequencing, single-cell sequencing, and multi-omic data (e.g., metabolic, transcriptomic, proteomic, methylation). The successful candidate will work within a dynamic and highly collaborative environment alongside computational biologists, bioinformaticians, epidemiologists, clinicians, research coordinators, students, and medical trainees. Qualified candidates with a PhD should send their CV and a cover letter to Dr. Michael Honigberg at "**************************". Job Summary Summary Does this position require Patient Care? No Essential Functions Qualifications Education: PHD Can this role accept experience in lieu of a degree? No Licenses and Credentials Experience Knowledge, Skills and Abilities Additional Job Details (if applicable) Physical Requirements * Standing N/A = (0%) * Walking N/A = (0%) * Sitting N/A = (0%) * Lifting N/A = (0%) * Carrying N/A = (0%) * Pushing N/A = (0%) * Pulling N/A = (0%) * Climbing N/A = (0%) * Balancing N/A = (0%) * Stooping N/A = (0%) * Kneeling N/A = (0%) * Crouching N/A = (0%) * Crawling N/A = (0%) * Reaching N/A = (0%) * Gross Manipulation (Handling) N/A = (0%) * Fine Manipulation (Fingering) N/A = (0%) * Feeling N/A = (0%) * Foot Use N/A = (0%) * Vision - Far N/A = (0%) * Vision - Near N/A = (0%) * Talking N/A = (0%) * Hearing N/A = (0%) Remote Type Onsite Work Location 185 Cambridge Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) EEO Statement: 1300 Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: Massachusetts General Physicians Organization, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. The Honigberg Lab at Massachusetts General Hospital is recruiting a post-doctoral fellow to be part of our American Heart Association Strategically Focused Research Network (SFRN) Center on pregnancy and cardiovascular-kidney-metabolic health. This position will focus on observational and interventional clinical studies-with opportunities to engage in cohort design, phenotyping, clinical data curation, data analysis, and collaboration across multidisciplinary teams of clinicians, trialists, and epidemiologists. The fellow will contribute to protocol development, clinical outcomes research, implementation of study procedures, and analysis, with the ability to work directly with patient-facing research infrastructure at MGH. Ideal candidates will have a strong foundation in clinical research methods, interest in prevention and/or women's cardiovascular health, and the ability to collaborate effectively in a fast-paced clinical investigation environment. Qualified candidates with a PhD should send their CV and a cover letter to Dr. Michael Honigberg at **************************. Job Summary Summary Does this position require Patient Care? No Essential Functions Qualifications Education: PHD Can this role accept experience in lieu of a degree? No Licenses and Credentials Experience Knowledge, Skills and Abilities Additional Job Details (if applicable) Physical Requirements * Standing N/A = (0%) * Walking N/A = (0%) * Sitting N/A = (0%) * Lifting N/A = (0%) * Carrying N/A = (0%) * Pushing N/A = (0%) * Pulling N/A = (0%) * Climbing N/A = (0%) * Balancing N/A = (0%) * Stooping N/A = (0%) * Kneeling N/A = (0%) * Crouching N/A = (0%) * Crawling N/A = (0%) * Reaching N/A = (0%) * Gross Manipulation (Handling) N/A = (0%) * Fine Manipulation (Fingering) N/A = (0%) * Feeling N/A = (0%) * Foot Use N/A = (0%) * Vision - Far N/A = (0%) * Vision - Near N/A = (0%) * Talking N/A = (0%) * Hearing N/A = (0%) Remote Type Onsite Work Location 185 Cambridge Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) EEO Statement: 1300 Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. LW, 100% research funded research fellow Job Summary The Division of General Internal Medicine and Primary Care, Department of Medicine at Brigham and Women's Hospital (BWH) and Harvard Medical School (HMS), invites applications for a postdoctoral fellowship in medical informatics. The Division is nationally recognized for providing compassionate, high-quality care, pioneering innovative medical education, and conducting cutting-edge clinical and health services research. We are seeking one highly motivated, diligent, and independent Research Fellow to join a dynamic research team supported by grants from the National Institutes of Health (NIH). This position focuses on advancing biomedical informatics research by applying artificial intelligence (AI) techniques and longitudinal electronic health records (EHRs) for disease phenotyping, risk factor identification, patient stratification, and predictive modeling. The successful candidate will design, develop, and evaluate innovative methods for data mining and analytics, leveraging comprehensive clinical knowledge bases, advanced natural language processing (NLP)/large language models (LLMs), and machine learning techniques. The ultimate goals are to drive knowledge discovery, improve clinical decision-making, enhance patient safety, and elevate the quality of care. The fellowship is based at Brigham and Women's Hospital, Harvard Medical School, and Mass General Brigham, offering a collaborative, multidisciplinary environment at the forefront of health information technology research. Fellows will have the opportunity to engage in groundbreaking research, contribute to ongoing projects, and propose novel research initiatives with the potential to secure external funding. During the appointment period, Fellows will be strongly encouraged to publish their research findings in high-impact journals and present their work at national and international conferences. This opportunity is ideal for individuals who are both independently driven and collaborative, thriving in a vibrant research environment alongside a large team of experienced faculty and staff. Fellows must be comfortable giving and receiving constructive feedback, incorporating insights to improve their work, and transparently sharing their ideas and decision-making processes. Recognizing and valuing the contributions of colleagues is essential, as is the ability to communicate effectively within a diverse, multidisciplinary team. Qualifications General Summary/Overview Statement Summarize the nature and level of work performed The Division of General Internal Medicine and Primary Care, Department of Medicine at Brigham and Women's Hospital (BWH) and Harvard Medical School (HMS), invites applications for a postdoctoral fellowship in medical informatics. The Division is nationally recognized for providing compassionate, high-quality care, pioneering innovative medical education, and conducting cutting-edge clinical and health services research. We are seeking one highly motivated, diligent, and independent Research Fellow to join a dynamic research team supported by grants from the National Institutes of Health (NIH). This position focuses on advancing biomedical informatics research by applying artificial intelligence (AI) techniques and longitudinal electronic health records (EHRs) for disease phenotyping, risk factor identification, patient stratification, and predictive modeling. The successful candidate will design, develop, and evaluate innovative methods for data mining and analytics, leveraging comprehensive clinical knowledge bases, advanced natural language processing (NLP)/large language models (LLMs), and machine learning techniques. The ultimate goals are to drive knowledge discovery, improve clinical decision-making, enhance patient safety, and elevate the quality of care. The fellowship is based at Brigham and Women's Hospital, Harvard Medical School, and Mass General Brigham, offering a collaborative, multidisciplinary environment at the forefront of health information technology research. Fellows will have the opportunity to engage in groundbreaking research, contribute to ongoing projects, and propose novel research initiatives with the potential to secure external funding. During the appointment period, Fellows will be strongly encouraged to publish their research findings in high-impact journals and present their work at national and international conferences. This opportunity is ideal for individuals who are both independently driven and collaborative, thriving in a vibrant research environment alongside a large team of experienced faculty and staff. Fellows must be comfortable giving and receiving constructive feedback, incorporating insights to improve their work, and transparently sharing their ideas and decision-making processes. Recognizing and valuing the contributions of colleagues is essential, as is the ability to communicate effectively within a diverse, multidisciplinary team. Principal Duties and Responsibilities Indicate key areas of responsibility, major job duties, special projects and key objectives for this position. These items should be evaluated throughout the year and included in the written annual evaluation. For all positions that include direct patient care, indicate with an "X" the age(s) of all patient populations served No Direct Patient Care X All age groups Adolescence (13 to 17 years) Neonates (birth to 1 month) Young Adult (18 to 25 years) Infant (1 month to 1year) Adult (26 to 54 years) Early Childhood (12 months to 5 years) Senior Adult (55 to 64 years) Late Childhood (6 to 12 years) Geriatric (65 years and up) The duties and responsibilities will vary depending on the specific topic area in which the fellow works, but will generally include: * Collaborating with a multidisciplinary team of researchers, clinicians, and data scientists to achieve project goals. * Participating in the design, development, implementation, and evaluation of proposed system and methods. * Leading or contributing to the design and development of novel AI/informatics methods and applications. * Conducting data analysis and system evaluation. * Leading or contributing to manuscript preparation, writing, and submission to peer-reviewed journals. * Presenting research findings at national and international conferences, seminars, and workshops. Qualifications (MUST be realistic, neither overstated nor understated, and related of the essential function of the job). * A PhD in biomedical informatics, computer science, information science, computational linguistics, statistics, data science, or a closely related field; or an MD/PharmD with demonstrated strength in biomedical informatics research. * Experience in biomedical informatics research; ability to plan and carry out research experiments and projects. * Candidates with experience in the areas of medical terminologies/ontologies, natural language processing/large language models, and machine/deep learning are strongly encouraged to apply. * Programming experience in computer programming languages (e.g., Python, Java, C#, SQL, R, etc). * Familiar with machine learning and statistical informatics methods. * Experience of analyzing healthcare data (e.g., EHR, claims) are desirable, but not required. Application materials: * Cover letter * CV * Three Letters of reference preferred, or contact info of references * Sample publication with clearly stated individual contributions Skills/Abilities/Competencies Required (MUST be realistic, neither overstated nor understated, and related of the essential function of the job). * Programming skills in computer programming languages (e.g., Python, Java, or C) and experience in artificial intelligence model development. * Experience in machine learning and statistical methods. * Excellent oral and written communication skills. * Ability to accept and adjust to feedback from supervisors. * Professionalism, respect, and regard for patient privacy. * Outstanding team player with the ability to thrive in a dynamic environment and adapt to shifting priorities, demands, and timelines. * Strong organizational skills and time management abilities. * Ability to prioritize tasks and meet deadlines. * Strong work ethic and industrious nature. Additional Job Details (if applicable) Remote Type Hybrid Work Location 1620 Tremont Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) EEO Statement: 2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: Massachusetts General Physicians Organization, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary HOW TO APPLY: Interested applicants should email a cover letter and CV to Dr. Gary Brenner at *************************. The Mass General Brigham Department of Anesthesiology at Massachusetts General Hospital is seeking a Postdoctoral Research Fellow to conduct translational neuroscience related to development of a novel gene therapy for peripheral nerve tumors. The ideal person for this position should possess good organizational skills, pay close attention to details, and communicate well. The person must be able to work independently, as well as with a team. Qualifications HOW TO APPLY: Interested applicants should email a cover letter and CV to Dr. Gary Brenner at *************************. With supervision and guidance, responsibilities of the Postdoctoral Research Fellow will include: * Performs independent and highly specialized experimental procedures * Designs and implements modifications of research protocols * Troubleshooting problems and instructing colleagues in highly specialized techniques * Synthesizes and interprets results * Performs advanced data recording and analysis using various software programs and statistical techniques * Maintains organized and detailed records of laboratory experiments in electronic laboratory notebooks * Presents results at lab meetings and, as applicable, at national conferences * Preparation and submission of research manuscripts to peer-reviewed journals * Assistance with preparation of grant applications * Other duties as assigned SKILLS/ABILITIES/COMPETENCIES REQUIRED: A successful candidate will: * Work independently under general direction of the Principal Investigator * Be motivated, meticulous, organized, and detail-oriented * Demonstrate initiative and enthusiasm for learning new techniques * Have strong analytical and problem-solving skills * Possess strong technical abilities and computer science skills * Possess excellent written and oral communication skills as demonstrated by publications and presentations * Possess the ability to make independent and effective decisions in a timely fashion * Possess competence in research techniques and methodologies * Have excellent interpersonal skills * Be a team player who works well with other lab members * Possess and exhibit both scientific curiosity and integrity Additional Job Details (if applicable) LICENSES, CERTIFICATIONS, and/or REGISTRATIONS (if applicable): N/A EDUCATION: PhD and/or MD required in neuroscience, cancer biology, immunology, molecular biology, biochemistry, cell biology, or a related field. EXPERIENCE: Prior lab experience required. Must have evidence of strong scientific productivity, including peer-reviewed publications. Open to highly motivated candidates with a relevant background. Secondary appointment will be at Harvard Medical School. SUPERVISORY RESPONSIBILITY (if applicable): Assistance guiding research technicians and trainees in the lab is expected. FISCAL RESPONSIBILITY (if applicable): N/A WORKING CONDITIONS: Work will be performed in a fast-paced research laboratory environment, requiring teamwork, collaboration, and flexibility. Candidate must be able to work independently. Remote Type Onsite Work Location 15 Parkman Street EEO Statement: 1300 Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: Massachusetts Eye and Ear Infirmary Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Summary Will conduct independent and collaborative research, contributing to the advancement of knowledge and the development of innovative solutions. The fellow will work under the supervision of the Principal Investigator and collaborate with a team of researchers. Does this position require Patient Care? No Essential Functions * Design, plan, and execute research experiments or projects in alignment with departmental goals. * Gather, analyze, and interpret data using appropriate statistical methods and tools. * Conduct comprehensive literature reviews to inform research direction and methodologies. * Prepare and publish research findings in peer-reviewed journals and present at conferences and seminars. * Work collaboratively with faculty, students, and other researchers, contributing to a positive research environment. * Mentor graduate and undergraduate students, providing guidance on research methodologies and techniques. * Assist in the preparation of grant proposals and funding applications to support ongoing research. * Prepare periodic reports and documents summarizing research progress and outcomes. Qualifications Education Doctorate Related Field of Study required Can this role accept experience in lieu of a degree? No Licenses and Credentials Experience Previous Research experience 3-5 years preferred Knowledge, Skills and Abilities * Demonstrated experience in research techniques, methods, or research areas relevant to the project. * Proficient analytical skills, proficiency in statistical software, and excellent written and verbal communication skills. * Ability to work independently as well as collaboratively within a team. * Good interpersonal and communication skills. Additional Job Details (if applicable) The Shalhout Lab is recruiting a highly motivated postdoctoral fellow with expertise in small molecule drug discovery, molecular biology, biochemistry, and/or chemistry. Our group is developing innovative approaches to treat cancers by combining cutting-edge experimental biology with computational biology. We are seeking candidates with strong wet-lab skills who are excited to design, execute, and interpret experiments that drive therapeutic discovery. ESSENTIAL FUNCTIONS: * Design and perform biophysical and biochemical assays, including protein purification, binding/interaction studies, cell reporter assays, and enzymatic assays. Purify and characterize proteins for structural and functional studies. * Design and perform protein-protein and protein-ligand interactions (e.g., SPR, ITC, pull-downs, FRET). * Conduct cell-based functional assays such as reporter assays, qPCR, and molecular characterization of signaling pathways. * Carry out molecular biology techniques, including cloning, mutagenesis, and protein expression. Perform mutagenesis and structure-function studies to map binding sites and mechanisms of action. * Support hit validation and lead optimization through iterative testing of small molecules. * Collaborate with medicinal chemistry and computational teams to prioritize candidates and refine drug design. * Basic understanding of biostatistics * Analyze and interpret experimental data, present findings in lab meetings, publications, and conferences. * Collaborate with team members on projects linking experimental data to translational cancer research EDUCATION AND EXPERIENCE: PhD in a relevant field (Molecular Biology, Biochemistry, Biophysics, Cancer Biology, or related discipline) with a strong track record of peer-reviewed publications in areas such as drug discovery, small-molecule therapeutics, or translational oncology research. WORKING CONDITIONS: Dry and potentially wet lab setting. Remote Type Onsite Work Location 20 Staniford Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) EEO Statement: 5110 Massachusetts Eye and Ear Infirmary is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: Massachusetts General Physicians Organization, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary We are seeking a highly motivated Postdoctoral Fellow to lead computational efforts focused on AI-accelerated drug discovery and delivery for neurological diseases. The ideal candidate will develop and apply cutting-edge machine learning methods to integrate multimodal and multiomics datasets, identify therapeutic targets/drugs, and design novel compounds, and leverage our unique in vitro models and in vivo nanotechnology tools. This role will involve driving high-impact, interdisciplinary research at the intersection of AI, single-cell omics, and translational neuroscience, with access to state-of-the-art resources and close collaboration with experimental teams generating novel datasets. Join our dynamic, multidisciplinary team as we develop new strategies to tackle neurodegeneration, together with the incredible collaborators and resources of the MGB/HMS/Broad/MIT ecosystem and partner biopharmaceutical companies. Responsibilities: * Integrate multimodal data and develop and train AI foundation models on large-scale biological datasets for predictive modeling of cellular responses, target identification, and drug candidate identification. * Apply generative and sequence-based ML models to design, model, and optimize binding peptides. * Analyze high throughput screens and biological datasets to inform in silico predictions. Qualifications Required Qualifications: * PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, Statistics, or a related field (recently completed or near completion). * Strong publication record demonstrating expertise in ML applied to biology. * Expertise in Python; experience with deep learning frameworks (PyTorch/TensorFlow); single-cell genomics analysis (Seurat, Scanpy, sc VI, etc.); and perturbation modeling (e.g., GEARS, sc Gen). * Excellent organizational, communication, and teamwork abilities in a fast-paced research environment. * Interest in translational impact. Preferred Qualifications: * Experience with biological foundation models (e.g., sc GPT, Geneformer, sc BERT); generative AI for sequences/proteins/peptides (e.g., RFdiffusion variants); cheminformatics tools (e.g., RDKit, PubChem querying); active learning/uncertainty quantification; pipeline automation (e.g., custom scripts or Airflow); integration of public resources (e.g., OpenTargets, ChEMBL); or basic computational ADMET/pharmacokinetics assessment. * Background in neurodegenerative disease. * Wet lab skills in molecular and cellular biology, nanotechnology, and pharmacology. How to Apply: Please submit your CV, a cover letter detailing your relevant experience and interest in the project and contact information for three references to Alice Stanton at *************************. We look forward to having you join us in advancing the fight against neurological diseases! Additional Job Details (if applicable) Remote Type Onsite Work Location 185 Cambridge Street EEO Statement: Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: Massachusetts General Physicians Organization, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary "The George A. "Doc" Lopez, MD, Laboratory for Regenerative Cell Therapy" (Lopez Lab) in the Department of Neurosurgery at Massachusetts General Hospital (MGH), a teaching affiliate of Harvard Medical School in Boston, Massachusetts, USA seeks motivated candidates to join our team at the postdoctoral research level. In 2018, the Department of Neurosurgery, MGH and the Laboratory of Molecular Neurobiology at McLean Hospital, both affiliated with Harvard Medical School, jointly completed the world's first FDA-approved autologous hi PSC-differentiated dopamine precursor cell implantation for the treatment of Parkinson's disease (N Engl J Med. 2020; 382:20 1926-1932). In 2023, the George A. "Doc" Lopez Laboratory for Regenerative Cell Therapy was established in the Department of Neurosurgery at MGH in honor of this achievement, to support ongoing and future clinical trials of cell therapy for Parkinson's disease (NCT06687837), and to develop and implement next generation cell production methods and novel cell therapies. The laboratory also focuses on disease mechanisms as a basis for developing new therapies, with an emphasis on transformative translational applications to Parkinson's disease and related neurodegenerative diseases. The laboratory includes both a GMP facility to produce clinical-grade cells for human clinical trials, and a neurobiology laboratory for preclinical research. The Laboratory is jointly directed by Scientific Director Bin Song, MD, PhD and Clinical Director Jeffrey Schweitzer, MD, PhD, both Assistant Professors of Neurosurgery of Harvard Medical School, in the Departments of Neurosurgery at Mass General Brigham. The Laboratory website is: ************************************************************************************** Qualifications The Laboratory is now recruiting for 1 postdoctoral fellow. Candidate qualifications should include a PhD or MD degree in a relevant field such as neuroscience, stem cell biology, gene editing, immunology, cellular neurophysiology etc., with evidence of scholarly achievement including relevant publications. Familiarity with clinical neuroscience or other biological or medical backgrounds is preferred. Highly valued qualifications include: 1. Experience in stem cell culture and neuron differentiation 2. Experience in neurodegenerative disease animal models, neural circuit analysis, optogenetics, chemical genetics, or electrophysiology 3. Experience in gene editing, molecular biology 4. Experience in immunology 5. Teamwork spirit and communication skills Additional Job Details (if applicable) Application Process: Please send CV to Dr. Bin Song: ********************* or Dr. Jeffrey Schweitzer **************************** Massachusetts General Hospital is an affirmative action/equal opportunity employer and encourages applications from women and underrepresented minorities. Remote Type Onsite Work Location 55 Fruit Street EEO Statement: Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: The General Hospital Corporation Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary The Massachusetts General Hospital Department of Emergency Medicine is seeking a highly quantitative, motivated, research-oriented postdoctoral scientist with strong data science and statistical modeling expertise. The ideal candidate will have advanced coding skills and a strong interest in translating quantitative methods to important problems in healthcare delivery and population health. This individual will contribute to quantitative modeling to address issues of access in emergency care delivery, with a focus on stroke care access and the prehospital setting. This individual will work under the general supervision of the Principal Investigator (PI) Dr. Zachrison and work collaboratively with Co-Investigators in the Columbia Healthcare Innovations Research and Evaluation Unit. This individual will be responsible for all aspects of data management and statistical analytic work for assigned projects. He/she will be a highly integrated team member interfacing with Investigators, Fellows, and other research staff on a regular basis. Qualifications Principle Duties and Responsibilities: Specific responsibilities include: Creating and maintaining a mathematical decision model. Using existing registry data to derive parameter estimates for incorporation into decision model. Working with Investigators on the development of the decision model and its use in related research questions. Drafting of Methods and Results sections for related manuscripts (with inclusion as co-author). Assist with grant applications (e.g., approach section) related to the decision model. Maintain IRB files and communication with IRB for the study. Responsible for overseeing all data-related amendments to the IRB. Collaborates with Principal Investigator (PI) and Co-Investigators in performance of above duties. Skills Required: Must have experience with: Data science or health services research and electronic data management systems. MS Office products. A specific statistical package (e.g., Python, R or equivalent) Must have: Doctoral degree (PhD) in quantitative field (data science, statistics, bioinformatics, applied math, or related discipline) Proficiency in programming and data science tools (Python, R, or equivalent) Strong statistical and machine learning background, with ability to develop and evaluate prediction models Excellent critical thinking and written and verbal communication skills. Excellent written and verbal communication skills. The ability to work well with a diverse group of individuals. Preferred: Prior experience with scientific publication (e.g., drafting manuscripts, conducting analyses, describing methods and results, etc.). Education: Field of Study/Additional Specialized Training: Doctoral degree in statistics, data science, mathematics, or a healthcare-related discipline. Must have a strong background in statistics programs (such as Python, R, STATA) and database management (such as MS Access and Excel). Experience: Preferred: Minimum of one year of data analysis experience is strongly preferred. Working Conditions: Normal indoor office environment. Additional Job Details (if applicable) Remote Type Hybrid Work Location 55 Fruit Street EEO Statement: 1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

The Center for Cancer Genomics (CCG) at Dana-Farber Cancer Institute facilitates genomic discoveries in cancer using novel technology platforms to assist researchers in both genome-wide and gene-focused efforts. Technologies are selected and developed with a view to research-oriented ventures, as well as translational medicine and clinical relevance. Our clinical and research environments currently use state-of-the-art massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding of cancer biology, and advance the field of precision cancer medicine. This opportunity offers the chance to work at the forefront of translational cancer technologies and applications, in an informatics group that enables analyses in both arenas. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Performs complex informatics tasks independently + Data analysis, data management, data visualization, or processing of large-scale biological, medical, and/or operational data + Generation of professionally written and graphical reports + Manages ongoing stakeholder/client interactions + Uses peers, academic literature, and online resources for troubleshooting + Works easily with others as part of a larger project team + Contributes expertise to DFCI software code base and communities of practice + Maintains a set of software tools or databases used by others and instructing others in their use **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Computational and data analysis: Expert + Data management and/or software engineering: Expert + Collaboration and communication: Able to set appropriate expectations, discuss and present results to customers in formal settings, and share ideas accurately and communicate them effectively, both in writing and verbally + Contributes to the development and growth of others + Strong interpersonal skills, ability to effectively interact with all levels of staff and external contacts + Excellent analytical, organizational and time management skills **MINIMUM JOB QUALIFICATIONS:** The position requires a bachelor's degree in a STEM field, with a master's or PhD strongly preferred in areas like bioinformatics, computational biology, or related quantitative fields. Candidates must have 3 years of experience, though a master's degree with 1 year of experience or a PhD with no experience also qualifies. **SUPERVISORY RESPONSIBILITIES:** None **PATIENT CONTACT:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $83,800.00 - $90,800.00

Site: Mass General Brigham Incorporated Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary The Research Compliance Associate is responsible for contributing to the overall success of the research compliance program at Mass General Brigham (MGB) as demonstrated by assisting with the development, oversight, and monitoring of research compliance functions through interpretation of MGB policy and local, state, and federal laws and regulations. The Research Compliance Associate should have a background in multiple research areas including, but not limited to, bench and laboratory research, animal research, human subjects research, international research activities, responsible conduct of research (RCR), research misconduct, research privacy, grants management, and controlled substances. The Research Compliance Associate will work under the direction of the Chief Research Compliance Officer and in collaboration with other departments within the research infrastructure. Qualifications Under the guidance of the Chief Research Compliance Officer, the Research Compliance Associate will have the following responsibilities: * Assist with the development of an annual work plan based on risk assessment. * Utilize metrics to measure program effectiveness. * Assist with internal investigations and operational audits to assess risk of research related issues, identify potential research compliance vulnerabilities, and make recommendations to improve internal controls. * Assist with education of the research community on research related topics to achieve compliance utilizing communication styles such as PowerPoint presentations, articles, website development, in-person training sessions, handouts, and infographics. * Stay abreast of requirements and changes in the regulatory environment and assist with interpretation and distribution of emerging MGB policies as well as local, state, and federal laws and regulations as it relates to research compliance. * Assist with evaluation of issues of non-compliance to include investigation, oversight, follow up, and resolution. * Assist in the development and revision of written research policies, procedures, and guidelines. * Assist in maintaining the research compliance webpage with relevant and up-to-date information in collaboration with the web development staff. * Utilize tact and diplomacy to communicate, build rapport and foster strategic alliances within the research community. * May represent Research Compliance at committee meetings. * Contribute to MGB and the Office of Compliance initiatives to promote a positive work environment. * Perform other related duties and responsibility as required. Education * Bachelor's Degree required. * Graduate degree in a healthcare field or law is preferred; related healthcare or legal experience considered in substitution Licenses and Credentials * CHRC preferred Experience * 3 years experience in project management in a complex organization required. * 1-3 years experience in a research-related position, preferably in a research compliance role. Familiarity with current applicable local, state, and federal laws and regulations related to research activities. Knowledge, Skills and Abilities * Proficient in using computer software applications such as Microsoft Excel, Word, PowerPoint, and Adobe. People Soft experience strongly preferred. * Strong interpersonal and communication skills (oral and written), including public speaking to facilitate training sessions, and lead discussion groups. * Ability to understand complex organizations; demonstrated political savvy. * Strong project management skills * Ability to work independently, with all levels, and within a strong team environment. * Ability to manage multiple responsibilities, often under time pressures. * Ability to function independently and effectively. Working Schedule * Hybrid, depending on business needs. On average, onsite required 2 days per week. Additional Job Details (if applicable) Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range * / Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: Mass General Brigham Incorporated is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary A research laboratory within the Brigham and Women's Hospital Division of Cardiovascular Medicine is seeking a highly motivated Research Scientist to join a growing, interdisciplinary team. The lab uses both in vitro (human ESC/iPSC) and in vivo (zebrafish) systems to model cardiovascular disorders and integrates transcriptional, (epi)genetic, metabolic, and phenotypic profiling at whole-organism, tissue, and single-cell levels. Our goal is to define the earliest molecular events driving disease onset, characterize their dynamic changes over time, and identify novel biomarkers and therapeutic targets. The Research Scientist will lead and directly perform automated, high-throughput microscopy screens to identify small-molecule compounds with improved efficacy over current clinical therapies. The role will involve hands-on execution of complex imaging workflows and the application of machine-learning approaches to large-scale imaging and phenotyping datasets. In addition, the Research Scientist will serve as the primary scientific point person for multiple industry collaborations, coordinating experimental design, execution, data generation, and communication between external partners and the lab. The Research Scientist will independently drive scientific projects, determine research direction in collaboration with the PI, and serve as an internal expert in automated imaging and computational analysis. The successful candidate will generate high-quality data, contribute substantially to scientific publications, mentor junior staff, engage with collaborators, and may participate in the development of external funding applications. Qualifications GENERAL SUMMARY/ OVERVIEW STATEMENT: A research laboratory within the Brigham and Women's Hospital Division of Cardiovascular Medicine is seeking a highly motivated Research Scientist to join a growing, interdisciplinary team. The lab uses both in vitro (human ESC/iPSC) and in vivo (zebrafish) systems to model cardiovascular disorders and integrates transcriptional, (epi)genetic, metabolic, and phenotypic profiling at whole-organism, tissue, and single-cell levels. Our goal is to define the earliest molecular events driving disease onset, characterize their dynamic changes over time, and identify novel biomarkers and therapeutic targets. The Research Scientist will lead and directly perform automated, high-throughput microscopy screens to identify small-molecule compounds with improved efficacy over current clinical therapies. The role will involve hands-on execution of complex imaging workflows and the application of machine-learning approaches to large-scale imaging and phenotyping datasets. In addition, the Research Scientist will serve as the primary scientific point person for multiple industry collaborations, coordinating experimental design, execution, data generation, and communication between external partners and the lab. The Research Scientist will independently drive scientific projects, determine research direction in collaboration with the PI, and serve as an internal expert in automated imaging and computational analysis. The successful candidate will generate high-quality data, contribute substantially to scientific publications, mentor junior staff, engage with collaborators, and may participate in the development of external funding applications. PRINCIPAL DUTIES AND RESPONSIBILITIES: * Provide overall scientific leadership and project management for assigned research initiatives, including direct execution of experimental work. * Design, optimize, and perform high-throughput automated imaging and screening assays, including day-to-day hands-on operation of imaging platforms and related instruments. * Conduct complex and innovative experiments using in vitro (human ESC/iPSC) and in vivo (zebrafish) models; troubleshoot technical challenges and refine protocols as needed. * Serve as a subject-matter expert while actively generating data, maintaining experimental quality, and ensuring reproducibility. * Exercise professional judgment in selecting experimental strategies, technologies, and analytical methods to obtain high-quality results. * Make project-level decisions to address and resolve critical scientific or technical challenges. * Regularly present results to the PI and contribute to preparation of manuscripts, reports, and presentations. * Collaborate with external partners as the scientific point person for industry-funded projects, ensuring high-quality and timely experimental deliverables. * Maintain an active publication record as senior author or substantial contributor, demonstrating scientific independence. * Participate in relevant scientific societies, committees, and professional activities. * Train and mentor junior research staff in laboratory techniques, data analysis approaches, and best practices in research execution. * Contribute to long-term strategic planning for the laboratory's research direction, technologies, and collaborative projects. QUALIFICATIONS: * PhD in molecular biology, molecular genetics, or a closely related field strongly preferred; an MS with substantial additional experience may be considered. * Prior experience with zebrafish research is required. * Minimum of 5 years of relevant research experience, including demonstrated independence. SKILLS/ ABILITIES/ COMPETENCIES REQUIRED: * Strong expertise and technical proficiency in molecular biology, cell biology, and genetics. * Demonstrated experience using model organisms (preferably zebrafish) for high-throughput drug or modifier screens. * Proven ability to design, execute, and troubleshoot complex research projects. * Ability to define project objectives, develop experimental approaches, and interpret results. * Strong scientific writing skills with a record of impactful contributions to peer-reviewed publications. * Excellent organizational, communication, and leadership skills. * Ability to work both independently and collaboratively within a multidisciplinary research team. WORKING CONDITIONS: Wet-lab/office setting. SUPERVISORY RESPONSIBILITY: May be responsible for managing junior staff or research assistants. Additional Job Details (if applicable) Remote Type Onsite Work Location 221 Longwood Avenue Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) EEO Statement: The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

The Associate Computational Biologist is training to become a Computational Biologist. They are responsible for routine data analysis or processing of biological data, with a focus on high-throughput technologies and genomic databases, under the supervision of mentor.The Computational Biologist is a quantitative scientist who collaborates with scientific investigators and with other research staff in the analysis of high-throughput data, and dissemination of scientific results. The Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor + Data Analysis: Follows a detailed manual to perform routine + Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates + Manuscript Preparation: Helps prepare tables and figures + Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R + Familiarity with principles of experimental design and the modern data analysis paradigms is required + Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight + Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts + Excellent analytical, organizational and time management skills **MINIMUM JOB QUALIFICATIONS:** The position requires a bachelor's degree in a STEM field, with no prior experience necessary. **SUPERVISORY RESPONSIBILITIES:** None **PATIENT CONTACT:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $60,000.00 - $67,466.00

The laboratory of Zuzana Tothova, MD, PhD is a multi-disciplinary team of physician scientists, scientists and computational biologists at the Dana-Farber Cancer Institute and the Broad Institute. Our laboratory uses genomics and a range of molecular and cellular biological techniques to elucidate the molecular basis of cancer and hematologic disorders and to develop novel therapeutics. Our specific focus is to understand the role of chromatin modifiers and epigenetic factors and find novel therapeutic opportunities in myeloid malignancies, including myelodysplastic syndromes and acute myeloid leukemia. JOB TITLE: Associate computational biologist FLSA: Full-time, on-site REPORTS TO: Zuzana Tothova, M.D., Ph.D. DEPT: Medicine Oncology/ Heme Neoplasia General Summary A full-time associate computational biologist position is available in the laboratory of Zuzana Tothova, M.D., Ph.D. at Dana-Farber Cancer Institute. We are seeking enthusiastic, self-motivated individuals who thrive in a fast-paced, challenging research environment, and can interact well with others as part of a cohesive team. If you have a desire to make a significant impact in healthcare and have the fortitude to work hard, you will succeed within this team. This is an ideal entry-level or mid-level position into the world of cutting-edge laboratory research. A growth mindset and a willingness to take on challenging learning opportunities will be sought out traits. Ideal candidates will possess strong interpersonal skills along with a desire to help others to succeed. Previous team members have gone on to successful academic and career opportunities; graduate/medical school and industry. The candidate will be involved in a series of research activities, including computational analysis of large-scale data sets generated in in vitro and in vivo human disease relevant models and use of next generation sequencing with a special emphasis on understanding the biology of human myeloid malignancies. The Associate Computational Biologist is training to become a Computational Biologist. They are responsible for routine data analysis or processing of biological data, with a focus on high-throughput technologies and genomic databases, under the supervision of mentor. The Computational Biologist is a quantitative scientist who collaborates with scientific investigators and with other research staff in the analysis of high-throughput data, and dissemination of scientific results. The Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases. We are looking for candidates with at least 2 years of availability. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor + Data Analysis: Follows a detailed manual to perform routine + Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates + Manuscript Preparation: Helps prepare tables and figures + Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R + Familiarity with principles of experimental design and the modern data analysis paradigms is required + Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight + Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts + Excellent analytical, organizational and time management skills **MINIMUM JOB QUALIFICATIONS:** The position requires a bachelor's degree in a STEM field, with no prior experience necessary. **SUPERVISORY RESPONSIBILITIES:** None **PATIENT CONTACT:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $60,000.00 - $67,466.00

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks an associate computational biologist to join in efforts to develop and apply cutting-edge genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements. This individual will contribute to a lively team and wider community of laboratory scientists, computational biologists, cancer geneticists, and software engineers dedicated to discovering and understanding the alterations in the cancer genome and discovering cancer vulnerabilities that could lead to new therapeutics. We are looking for a person who wants to lead their projects, think independently and make original intellectual contributions. We welcome all levels of input from our ACBs, including input on the conduct of analyses but also on new analyses to conduct and new questions to ask. ACBs in our laboratory regularly present their own work and contribute to the writing of papers and grant applications. We view an ACB as a mentored training position, with a primary goal being their professional development. Our prior ACBs have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, and MD-PhDs on the paths to careers in both academia and industry. The ideal candidate will have extensive programming ability and a strong background in mathematics and statistics with a deep interest and background in biology. The candidate is required to have a B.S./B.A. or equivalent, ideally in the life sciences, physical sciences, or computational sciences; prior research in one of these areas (for example, a summer research program or several hours a week in a lab as an undergraduate); a strong background in programming, preferably in R and BASH; knowledge of statistical methods either through coursework or research; and excellent written & verbal communication skills. They must be a self-starter with excellent problem-solving, organizational and people skills and be able to collaborate closely with other members of a research team. We prefer the candidate to have exposure to an analytic field such as bioinformatics, computational biology, machine learning, or statistics and experience working in cloud computing and UNIX environments. A minimum 2 year commitment is required. Ideally we are looking for someone to join our lab before March 2026 but we are also considering applicants who will complete their current degree program in Spring 2026. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor + Data Analysis: Follows a detailed manual to perform routine + Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates + Manuscript Preparation: Helps prepare tables and figures + Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R + Familiarity with principles of experimental design and the modern data analysis paradigms is required + Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight + Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts + Excellent analytical, organizational and time management skills **MINIMUM JOB QUALIFICATIONS:** The position requires a bachelor's degree in a STEM field, with no prior experience necessary. **SUPERVISORY RESPONSIBILITIES:** None **PATIENT CONTACT:** None At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEO Poster** . Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $60,000.00 - $67,466.00

This is an opportunity to join Ordovas-Montanes Lab, which specializes in understanding how inflammation drives memory formation in barrier tissues with the goal of developing new therapeutic avenues for human disease. This candidate will contribute to a collaborative project focused on mucosal immunity to respiratory infection and vaccination. The candidate will work under the direct supervision of Dr. Jose Ordovas-Montanes and be closely integrated within a community of senior scientists, graduate students, and postdoctoral fellows. This position requires substantial technical expertise, the ability to troubleshoot specialized assays, and the capacity to support and train junior lab members as needed. This role offers the opportunity to develop a wide range of experimental and computational skills while working in an interdisciplinary environment with access to resources across Boston Children's Hospital and Harvard Medical School. The ideal candidate is motivated to understand the biological principles underlying infection-induced inflammatory diseases and may be interested in pursuing future postgraduate education. Key Responsibilities: * Independently perform complex experimental workflows, help optimize protocols, and generate high-quality data for single-cell genomics and airway epithelial biology studies. * Troubleshoot specialized assays. * Support and train junior lab members as needed. * Performs routine and highly specialized lab experiments using sophisticated and intricate research equipment and techniques. Performs and devises specialized experiments and research procedures, troubleshooting problems with own and other researchers' results. * Assists other lab personnel with the use of specialized equipment and techniques within the lab. Minimum Qualifications Education: * Bachelor's degree in biology, immunology, genomics, chemistry, or a related field is required. Master's degree preferred but not required. Experience: * Bachelor's and 4 years of relevant experience OR a Master's of Science and 2 years of relevant experience. * Demonstrated experience performing mammalian cell culture, ideally primary airway epithelial culture or similar complex systems. * Proficiency in molecular biology techniques. * Proven ability to independently execute and troubleshoot complex laboratory workflows. * Experience with single-cell RNA-sequencing methods and data analysis in R and/or python is preferred but not required. The posted pay range is Boston Children's reasonable and good-faith expectation for this pay at the time of posting. Any base pay offer provided depends on skills, experience, education, certifications, and a variety of other job-related factors. Base pay is one part of a comprehensive benefits package that includes flexible schedules, affordable health, vision and dental insurance, child care and student loan subsidies, generous levels of time off, 403(b) Retirement Savings plan, Pension, Tuition and certain License and Certification Reimbursement, cell phone plan discounts and discounted rates on T-passes. Experience the benefits of passion and teamwork.