Research Scientist jobs at Massachusetts General Hospital

The Vlachos Lab and the Spatial Technologies Unit (************************** are currently looking for talented postdoctoral researchers to lead large-scale spatial/single cell initiatives within our research program as well as to devise novel AI/ML and computational biology methods that will enable us to bring these two novel technologies closer to translation. The researcher will have the ability to leverage some of the most extensive single cell and spatial transcriptomic datasets to date, generated in-house. Available projects revolve around cancer immunology, novel immunotherapies (CAR-T, bi-specifics, mRNA cancer vaccines), and autoimmunity research. We generate extensive data and employ, develop, utilize cutting-edge artificial intelligence and machine learning (AI/ML) to generate next-generation insights for novel targets or patient stratification. The Vlachos lab is also part of large scale initiatives, such as the Human Biomolecular Atlas Project (HuBMAP - ************************** enabling the postdoctoral researcher become an integral part of the single cell and spatial community. Local and International Applicants are encouraged to apply The Postdoc Single Cell and Spatial Technologies Bioinformatician will have the chance to be incorporated in cutting-edge research conducted in the Vlachos Lab, the Spatial Technologies Unit (**************************, in Beth Israel Deaconess Medical Center, Harvard Medical School, and the Broad Institute of MIT and Harvard. The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods). A strong background in machine learning applications is considered a plus. Our location within the CRI, the first Institute for RNA Medicine in Boston, Harvard Medical School, and the Broad Institute of MIT and Harvard, creates a unique environment for avant-garde research and scientific growth. The researcher will receive training on research, grant writing, career development, and mentoring. She/he will have the opportunity to lead impactful projects and collaborate directly with an extensive network of leading researchers and companies in the US and internationally. Successful applicants will receive a competitive remuneration and benefits package. Essential Skills · Extensive experience in handling and analyzing Next Generation Sequencing data · PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics) · Strong quantitative background (e.g. BSc in Computer Science, Applied Math, Engineering, Biostatistics) · Experience in bioinformatics/data analysis using R/Bioconductor · Experience in linux-based environments and high-performance computing · Proven experience in AI/ML solutions · Great programming skills · Effective science communication Ideal Skills · Single cell and/or spatial -omics data analysis experience · Strong publishing record · Theoretical and practical AI/ML background · Lead and coordinate extensive projects For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. We are an equal Opportunity Employer and we welcome applications from women, persons with disabilities, protected veterans, and members of minority groups. International applicants are welcome to apply.'

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 Summary Drives research projects scientifically and determines the course of research as evidenced by leadership, obtaining funding, writing, or other recognition. May not necessarily receive independent resources; however, their contribution is essential to the conceptual/scientific success of the project. Does this position require Patient Care? No Essential Functions -Establishes and conducts active, complex scientific research as an independent researcher. -Makes strong intellectual contributions to scientific strategies of the group/lab and plays a leadership role by acting as subject matter expert in field. -Contributes to the design and execution of experiments and/or research projects. -Exercises judgment in selecting methods and technologies to obtain results. -May collaborate with external researchers and/or receive external project funding support. -Presents results and prepares publications. -May assist PI in the training and supervision of other staff. Qualifications Education Doctorate Science required or Doctor of Medicine required Can this role accept experience in lieu of a degree? No Licenses and Credentials Experience High level of research experience in related field or area of expertise 5-7 years required Knowledge, Skills and Abilities - Excellent research skills. - Demonstrated broad knowledge of field. - Demonstrated evidence of specific scientific competence in field. - Evidence of potential for scientific creativity and original thought. - Able to exercise independent judgment and leadership. - Ability to contribute to publications. Additional Job Details (if applicable) Physical Requirements Standing Frequently (34-66%) Walking Frequently (34-66%) Sitting Occasionally (3-33%) Lifting Frequently (34-66%) 35lbs+ (w/assisted device) Carrying Frequently (34-66%) 20lbs - 35lbs Pushing Occasionally (3-33%) Pulling Occasionally (3-33%) Climbing Rarely (Less than 2%) Balancing Frequently (34-66%) Stooping Occasionally (3-33%) Kneeling Occasionally (3-33%) Crouching Occasionally (3-33%) Crawling Rarely (Less than 2%) Reaching Frequently (34-66%) Gross Manipulation (Handling) Frequently (34-66%) Fine Manipulation (Fingering) Frequently (34-66%) Feeling Constantly (67-100%) Foot Use Rarely (Less than 2%) Vision - Far Constantly (67-100%) Vision - Near Constantly (67-100%) Talking Constantly (67-100%) Hearing Constantly (67-100%) Remote Type Onsite Work Location 75 Francis 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: 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. Courtesy posting Job Summary Summary Drives research projects scientifically and determines the course of research as evidenced by leadership, obtaining funding, writing, or other recognition. May not necessarily receive independent resources; however, their contribution is essential to the conceptual/scientific success of the project. Does this position require Patient Care? No Essential Functions * Establishes and conducts active, complex scientific research as an independent researcher. * Makes strong intellectual contributions to scientific strategies of the group/lab and plays a leadership role by acting as subject matter expert in field. * Contributes to the design and execution of experiments and/or research projects. * Exercises judgment in selecting methods and technologies to obtain results. * May collaborate with external researchers and/or receive external project funding support. * Presents results and prepares publications. * May assist PI in the training and supervision of other staff. Qualifications Education Doctorate Science required or Doctor of Medicine required Can this role accept experience in lieu of a degree? No Licenses and Credentials Experience High level of research experience in related field or area of expertise 5-7 years required Knowledge, Skills and Abilities * Excellent research skills. * Demonstrated broad knowledge of field. * Demonstrated evidence of specific scientific competence in field. * Evidence of potential for scientific creativity and original thought. * Able to exercise independent judgment and leadership. * Ability to contribute to publications. * Applicants should have recent, direct, hands-on experience in molecular biology and/or protein chemistry. Applicants must be proficient in using core biochemical techniques (Western Blot, ELISA, protein purification, immunohistochemistry, etc.). Experience in antibody development and characterization is advantageous but not required. Please direct resumes to Dr. Jasmeer Chhatwal at ********************************. Additional Job Details (if applicable) Remote Type Onsite Work Location 60 Fenwood Road 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.

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.

Dana-Farber Cancer Institute (DFCI) is seeking a highly motivated Pre-Clinical Scientist to support the research activities at the Experimental Therapeutics (ETx) Core and the Lurie Family Imaging Center (LFIC). The ETx Core and LFIC are co-located in a state-of-the-art 14,000 square-foot preclinical facility, fully equipped with housing and procedure rooms, as well as a suite of in vivo imaging scanners. The Pre-Clinical Scientist will integrate with a highly skilled team of Scientists and Research Associates, and report directly to the Director. The in vivo studies conducted at the facility are focused on cancer research, with an emphasis on in vivo pharmacology, the assessment of novel cancer therapeutics, and multimodality imaging of cancer, and provide key information for the improvement of cancer patient treatment and care. The position is at 27 Dry Dock Ave, South Boston ****************************** 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. The successful candidate will work collaboratively and in concert with a staff of dedicated scientists, animal/imaging technologists/associates, administrative personnel, and clinical counterparts to design and execute oncology related mouse studies using various imaging modalities (BLI/MRI/SPECT/PET/CT, etc) as well as the entire spectrum of conventional (e.g., caliper measurements, clinical scoring) endpoints to evaluate pre-clinical novel cancer therapies. The Pre-Clinical Scientist will work closely with the Director to execute the vision and strategic direction of translational cancer research. The Pre-Clinical Scientist will partner with clinical affiliates to facilitate bidirectional translational cancer science. The Pre-Clinical Scientist will work closely with other Centers and Departments at Dana-Farber that are engaged in research on small animal modeling in cancer and in experimental therapeutics. The Scientist will be expected to develop research projects for presentation at national meetings and publication in peer-reviewed journals. The Pre-Clinical Scientist will build collaborations with principal investigators, other departments, and industrial partners to design experimental therapeutics studies, and will be responsible for the execution, analysis and generation of reports for studies. **Skills and Abilities Required** + Hands-on experience using various cell line and PDX mouse/rat models and orthotopic models to execute in vivo workflows is highly desired. + Familiar with IVIS, PET/CT, MRI and other imaging approaches. + Demonstrated ability to deploy novel in vivo models to enable drug discovery and translational research. + Excellent interpersonal and communication skills with the ability to interact effectively with internal and external collaborators. + Demonstrated expertise in various in vitro methodologies such as immune profiling by flow cytometry, ELISA and Western blot analysis. + Ability to establish independent research and secure external funding + Full-time, M-F; hours may vary with project needs Dana-Farber Cancer Institute supports a robust Scientist career track with multiple opportunities for advancement, leadership, and recognition. The successful candidate will be appointed to a level within the Scientist career track commensurate with his or her accomplishments and abilities. Promotion on this track will be based on achievement of goals. + PhD cancer biology, biology or relevant biological sciences + Minimum of 5 years' experience in pre-clinical pharmacology pre- or post-PhD + Established track record of research publications, preferably in cancer research + Builds productive internal/external working relationships. + Having wide-ranging experience, uses technical concepts and Institute objectives to resolve complex issues in creative and effective ways. + Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. + Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. + Networks with key contacts outside our own area of expertise. **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) $80,000 - $82,900 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. **EEOC Poster**

Dana-Farber Cancer Institute (DFCI) is seeking a highly motivated Pre-Clinical Scientist to support the research activities at the Experimental Therapeutics (ETx) Core and the Lurie Family Imaging Center (LFIC). The ETx Core and LFIC are co-located in a state-of-the-art 14,000 square-foot preclinical facility, fully equipped with housing and procedure rooms, as well as a suite of in vivo imaging scanners. The Pre-Clinical Scientist will integrate with a highly skilled team of Scientists and Research Associates, and report directly to the Director. The in vivo studies conducted at the facility are focused on cancer research, with an emphasis on in vivo pharmacology, the assessment of novel cancer therapeutics, and multimodality imaging of cancer, and provide key information for the improvement of cancer patient treatment and care. The position is at 27 Dry Dock Ave, South Boston ****************************** 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. Responsibilities The successful candidate will work collaboratively and in concert with a staff of dedicated scientists, animal/imaging technologists/associates, administrative personnel, and clinical counterparts to design and execute oncology related mouse studies using various imaging modalities (BLI/MRI/SPECT/PET/CT, etc) as well as the entire spectrum of conventional (e.g., caliper measurements, clinical scoring) endpoints to evaluate pre-clinical novel cancer therapies. The Pre-Clinical Scientist will work closely with the Director to execute the vision and strategic direction of translational cancer research. The Pre-Clinical Scientist will partner with clinical affiliates to facilitate bidirectional translational cancer science. The Pre-Clinical Scientist will work closely with other Centers and Departments at Dana-Farber that are engaged in research on small animal modeling in cancer and in experimental therapeutics. The Scientist will be expected to develop research projects for presentation at national meetings and publication in peer-reviewed journals. The Pre-Clinical Scientist will build collaborations with principal investigators, other departments, and industrial partners to design experimental therapeutics studies, and will be responsible for the execution, analysis and generation of reports for studies. Skills and Abilities Required * Hands-on experience using various cell line and PDX mouse/rat models and orthotopic models to execute in vivo workflows is highly desired. * Familiar with IVIS, PET/CT, MRI and other imaging approaches. * Demonstrated ability to deploy novel in vivo models to enable drug discovery and translational research. * Excellent interpersonal and communication skills with the ability to interact effectively with internal and external collaborators. * Demonstrated expertise in various in vitro methodologies such as immune profiling by flow cytometry, ELISA and Western blot analysis. * Ability to establish independent research and secure external funding * Full-time, M-F; hours may vary with project needs Dana-Farber Cancer Institute supports a robust Scientist career track with multiple opportunities for advancement, leadership, and recognition. The successful candidate will be appointed to a level within the Scientist career track commensurate with his or her accomplishments and abilities. Promotion on this track will be based on achievement of goals. Qualifications * PhD cancer biology, biology or relevant biological sciences * Minimum of 5 years' experience in pre-clinical pharmacology pre- or post-PhD * Established track record of research publications, preferably in cancer research * Builds productive internal/external working relationships. * Having wide-ranging experience, uses technical concepts and Institute objectives to resolve complex issues in creative and effective ways. * Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. * Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. * Networks with key contacts outside our own area of expertise. 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) $80,000 - $82,900 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. EEOC Poster

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 SUMMARY: We are seeking a highly motivated Bioinformatics Specialist to join our research team. This position will focus on implementing and maintaining the hardware and software infrastructure for deep leaning, high-dimensional image analysis using proteomic, genomic and transcriptomic data analysis, and data management/husbandry. The successful candidate will work closely with biologists, computational scientists, and clinicians to extract meaningful insights from multimodal datasets. KEY RESPONSIBILITIES: 1. Data Management & Computational Infrastructure * Develop and maintain data pipelines for large-scale imaging and sequencing datasets. * Set up and maintain multi-user GPU/HPC infrastructure for large-scale multi-omics analysis and deep learning model training/inference. * Manage data storage, versioning, and retrieval in compliance with FAIR data principles. * Maintain documentation and reproducible workflows using Snakemake, Nextflow, or WDL. 2. Multiplex Immunofluorescence Image Analysis & Spatial Biology * Develop and implement workflows for Lunaphore COMET and Singular Genomics G4X multiplexed immunofluorescence image analysis. * Process and analyze high-dimensional imaging datasets using QuPath, ImageJ, Cellpose, and other computational tools. * Integrate spatial biology data with transcriptomic/genomic data for multimodal analysis. 3. Genomic & Transcriptomic Data Analysis * Develop and implement workflows for bulk RNA-seq, single-cell RNA-seq (sc RNA-seq), and spatial transcriptomics data analysis. * Conduct Next-Generation Sequencing (NGS) analysis, including variant calling, gene expression analysis, and pathway enrichment studies. * Utilize bioinformatics pipelines (e.g., STAR, Cell Ranger, Seurat, DESeq2, Monocle, Scanpy) for data processing. * Work with long-read sequencing (PacBio, Oxford Nanopore) and epigenomics as needed. Qualifications Required Skills & Qualifications * MSc or PhD (or BSc with equivalent experience) in Bioinformatics, Computational Biology, Biostatistics, or related field. * Proficiency in Python, R, Java/Groovy and Bash scripting. * Familiarity with containerized environments (e.g. Docker, Apptainer). * Familiarity with machine learning / AI for image and genomic data analysis. * Experience working in Unix/Linux environments and using HPC/cloud-based pipelines. * Strong organizational skills for handling large and complex datasets. * Ability to collaborate effectively in a multidisciplinary research team. Additional Job Details (if applicable) Remote Type Onsite Work Location 149 Thirteenth Street Building 149 Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $73,798.40 - $107,400.80/Annual 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: 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. The **Bioinformatician II** will report to CCG's Lead Informaticist and have the main responsibility of independently performing data analysis on a wide array of cancer multiomics projects ( _sc/sn RNAseq, sc ATACseq, Crispr screens, SNV/CNV, longread Oxford Nanopore Direct RNA sequencing,_ etc.) in consultation and collaboration with internal Dana-Farber research collaborators and external research partners. Some limited orchestration of automated pipelines may be required as necessary. The Bioinformatician II will have no direct reports. Dana-Farber has a wealth of local, on-premises, and cloud-based computing resources available to extensively explore the large body of data generated annually by Dana-Farber researchers and collaborators. Given these resources, the development of novel computational methods is strongly encouraged. **MINIMUM JOB QUALIFICATIONS:** Minimum Education: Bachelor's degree required in a STEM field. Master's degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field. Minimum Education: 3 Years of experience required; Master's degree with 1 year experience required; PhD with 0 years. + Experience with bioinformatics tools and databases for sequence alignment/analysis; germline and somatic variant calling; bulk and single-cell/nuclei RNAseq; long read sequencing (Oxford Nanopore). + Proficiency in programming languages commonly used in bioinformatics and data analysis, such as Python, R, and Perl. Experience with workflow languages such as WDL or Nextflow is a plus. + Excellent communication skills and ability to work collaboratively in multi-disciplinary team. **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 - $90,800 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. **EEOC Poster**

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. Responsibilities The Bioinformatician II will report to CCG's Lead Informaticist and have the main responsibility of independently performing data analysis on a wide array of cancer multiomics projects (sc/sn RNAseq, sc ATACseq, Crispr screens, SNV/CNV, longread Oxford Nanopore Direct RNA sequencing, etc.) in consultation and collaboration with internal Dana-Farber research collaborators and external research partners. Some limited orchestration of automated pipelines may be required as necessary. The Bioinformatician II will have no direct reports. Dana-Farber has a wealth of local, on-premises, and cloud-based computing resources available to extensively explore the large body of data generated annually by Dana-Farber researchers and collaborators. Given these resources, the development of novel computational methods is strongly encouraged. Qualifications MINIMUM JOB QUALIFICATIONS: Minimum Education: Bachelor's degree required in a STEM field. Master's degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field. Minimum Education: 3 Years of experience required; Master's degree with 1 year experience required; PhD with 0 years. * Experience with bioinformatics tools and databases for sequence alignment/analysis; germline and somatic variant calling; bulk and single-cell/nuclei RNAseq; long read sequencing (Oxford Nanopore). * Proficiency in programming languages commonly used in bioinformatics and data analysis, such as Python, R, and Perl. Experience with workflow languages such as WDL or Nextflow is a plus. * Excellent communication skills and ability to work collaboratively in multi-disciplinary team. 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 - $90,800 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. EEOC Poster

A **RESEARCH TECHNICIAN** position is available in the laboratory of Dr. Yana Pikman (*********************************** at the Dana-Farber Cancer Institute. Our research focuses on the application of clinical genomics for development of targeted therapy approaches for acute leukemia, drug testing and combination screening with the ultimate goals of 1) improving understanding of leukemia biology and 2) translating bench discovery to clinical care. You will join a team of investigators leading these efforts in the academic environment, working at the bench, collaborating closely with scientists as well as clinical researchers. You will play an essential, and possibly leading, role in project-focused work. 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. + Conduct bench level experiments to support the goals of scientific research in leukemia and genomics + Maintain cell lines and isolate primary cells for use in cell based assays + Performing a variety of basic cancer biology assays, including in vitro proliferation or apoptosis assays, drug sensitivity assays, flow cytometry and western blotting, _in vivo_ xenograft experiments + Performing a variety of molecular biology assays- cloning, PCR, DNA/RNA isolation + Lentiviral transduction techniques for ORF-overexpression experiments or CRISPR-Cas9 knockdown/knockout experiments + Operate and maintain laboratory equipment to complete investigations + Prepare, order, and maintain stocks of necessary reagents, solutions and supplies + Document, compile, and analyze experimental data. Troubleshoot and solve scientific problems with supervision + Report data in oral and written formats + Monitors laboratory work to ensure compliance with Environmental Health and Safety information as well as the standard operation procedures specific to each laboratory. + Expected to provide intellectual and interactive commitment to position by keeping up with appropriate literature and research publications. + May be responsible for designing and executing advanced experiments and setting strategy. + Participate in team meetings for experimental planning, discussion of projects and general learning + Participate in research meetings at the DFCI and Boston Children's Hospital + Bachelor's degree in Biology or related field required, or equivalent combination of education and experience + 1-2 years prior laboratory experience is strongly desired but not absolutely required. More experienced applicants who have worked for multiple years as a professional scientist or research technician are also encouraged to apply and would be considered at an appropriate level of compensation and benefits. + A history of hard work and sound academic achievement is required. + Familiarity with basic laboratory techniques and principles of molecular biology + Experience working in a medical or scientific research setting or comparable technology-oriented business environment + Knowledge of computers and experience with databases + Ability to analyze information and use logical reasoning to address work-related issues and problems. + Ability to work within a team environment. + Must have attention to detail and be thorough in completing work tasks. + Excellent written and oral communication skills + Strong organizational skills, including the ability to handle a variety of tasks in a fast-paced environment required + We are looking for candidates with a minimum of two years of availability. Candidates with laboratory technician experience and those potentially interested in a long term position are encouraged to apply. **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) $47,500 - $51,300 **APPLY** : Please apply on our careers page. You can e-mail a cover letter/letter of interest to: Yana Pikman, MD Principal Investigator Yana_*********************** 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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.

The Belfer Center for Applied Cancer Science is an integrative research center within Dana-Farber Cancer Institute. Our mission is to enhance and accelerate oncology drug discovery & development through bridging of academia, industry, and clinical research. We apply industrial capabilities to cutting edge academic/clinical science. We partner with industry in drug discovery/development & work with industrial partners to delineate the clinical path of novel therapies for cancer patients. This integrated, goal-oriented organization represents a new academic construct that provides an unprecedented opportunity to change the way anti-cancer therapeutics are discovered and developed. For more information please visit: ************************************* 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. + Lead multi-laboratory collaborations to characterize novel targets and therapeutic approaches for cancer + Design experiments and execute on protocols; propose modification to protocols as needed + Maintain accurate records, write reports, and prepare presentations + Contribute to project team as well as overall laboratory organization and safety + Operation and maintenance of mass spectrometer instrumentation + Manage project Team + Ph.D. in mass spectrometry or related field with 4-5 years experience + Experience working in proteomics and biochemistry + Experience performing quantitative mass spectrometry assays + Familiarity with Thermo instrumentation (Eclipse, Fusion, Q Exactive Plus, EASY-nLC, Astral-Orbitrap) + Familiarity with mass spectrometry methods (DIA, DDA, TMT-MS3, MRM, PRM, Intact Mass, etc.) + Independent, self-motivated, and innovative + Excellent written and oral communication skills + Outstanding interpersonal and team skills + Ability to excel in a goal-oriented and fast-moving team environment + Basic immunology a plus **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) $74,600 - $82,900 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. **EEOC Poster**

The Targeted Protein Degradation (TPD) Proteomics Core within the Fischer Lab at Dana-Farber Cancer Institute serves as a resource for the Cancer Biology Department, aiding investigators in answering key research questions using mass spectrometry-based proteomics. We employ quantitative chemoproteomic and interactomic approaches to identify drug targets and are continuing to expand our repertoire to meet the needs of our core users. Our core is equipped with extensive mass spectrometry equipment including tims TOF HT, tims TOF Ultra2 and Orbitrap Eclipse tribrid mass spectrometers. The TPD Core seeks a highly motivated individual to join the team as a RESEARCH SCIENTIST, who will employ mass spectrometry-based technologies to assess the cellular proteome in response to external stimuli. This individual will be an important member of our core team and will work across a variety of different research projects focused on targeted protein degradation as a novel therapeutic modality. While we consider various mass spectrometry related backgrounds, a strong emphasis on **instrument automation, systems management, and proteomics pipeline development** is highly desirable. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world-renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Lead the design and execution of proteomics experiments (eg, TMT, DIA, DDA) in collaboration with internal and external investigators + **Develop and implement automated workflows** for sample preparation, instrument scheduling, data acquisition, and analysis across multiple platforms. + **Manage and maintain mass spectrometry instrumentation** **,** including calibration, performance monitoring, and preventive maintenance to ensure high-throughput reliability. + **Integrate laboratory robotics and liquid handling systems** into proteomics sample preparation pipelines to enhance throughput and reproducibility. + Develop, optimize, and troubleshoot sample preparation workflows including whole cell proteomics, interactome analysis, and various enrichment protocols + Analyze data using advanced pipelines (eg, DIA-NN, spectronaut, proteome discoverer) and support biological interpretation. + Train and mentor junior staff and contribute to a culture of continuous improvement + Ensure compliance with lab safety, QC standards, and data integrity policies + Communicates with purchasing and may be responsible for negotiating with vendors + Ph.D in biochemistry, analytical chemistry, bioengineering or related field. + Strong expertise in mass spectrometry-based proteomics and data analysis + Hands on experience operating Thermo and/or Bruker mass spectrometers is required + Demonstrated experience with **laboratory automation, robotics, or pipeline development** (e.g., Hamilton, Opentrons, or custom scripting for workflow automation). + Proficiency with quantitative proteomics (label-free, TMT, DIA) and enrichment techniques. + Familiarity with **data analysis software and scripting** (DIA-NN, Proteome Discoverer, R, Python). + Excellent organizational, troubleshooting, and communication skills. + Proven ability to work collaboratively across interdisciplinary teams and manage multiple projects simultaneously. **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) $74,600 - $82,900 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. **EEOC Poster**

The Belfer Center for Applied Cancer Science is an integrative research center within Dana-Farber Cancer Institute. Our mission is to enhance and accelerate oncology drug discovery & development through bridging of academia, industry, and clinical research. We apply industrial capabilities to cutting edge academic/clinical science. We partner with industry in drug discovery/development & work with industrial partners to delineate the clinical path of novel therapies for cancer patients. This integrated, goal-oriented organization represents a new academic construct that provides an unprecedented opportunity to change the way anti-cancer therapeutics are discovered and developed. For more information please visit: ************************************* 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. Responsibilities * Lead multi-laboratory collaborations to characterize novel targets and therapeutic approaches for cancer * Design experiments and execute on protocols; propose modification to protocols as needed * Maintain accurate records, write reports, and prepare presentations * Contribute to project team as well as overall laboratory organization and safety * Operation and maintenance of mass spectrometer instrumentation * Manage project Team Qualifications * Ph.D. in mass spectrometry or related field with 4-5 years experience * Experience working in proteomics and biochemistry * Experience performing quantitative mass spectrometry assays * Familiarity with Thermo instrumentation (Eclipse, Fusion, Q Exactive Plus, EASY-nLC, Astral-Orbitrap) * Familiarity with mass spectrometry methods (DIA, DDA, TMT-MS3, MRM, PRM, Intact Mass, etc.) * Independent, self-motivated, and innovative * Excellent written and oral communication skills * Outstanding interpersonal and team skills * Ability to excel in a goal-oriented and fast-moving team environment * Basic immunology a plus 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) $74,600 - $82,900 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. EEOC Poster

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. **PRIMARY DUTIES AND RESPONSIBILITIES:** 1. Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor. 2. Data Analysis: Follows a detailed manual to perform routine. 3. Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. 4. Manuscript Preparation: Helps prepare tables and figures. 5. 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. 6. Works closely with postdoctoral fellows and graduate students in the lab and computational biology collaborators at the Dana-Farber Cancer Institute and the Broad Institute to analyze biological data sets, including but not limited to DNA and RNA sequencing, gene expression and transcriptome analysis, chromatin landscape profiling, and analysis of microscopy/imaging data. 7. Modifies and maintains existing data-processing pipelines in the lab, and develops new pipelines and tools to analyze novel forms of data, including data cleaning, normalization, and visualization. 8. Integrates multiple data sets to answer targeted scientific questions. 9. Documents and compiles findings in oral and written reports. 10. Attends team meetings to share results, plan projects and experiments. 11. Maintains and improves technical knowledge base. 12. Other related tasks as required. **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Computational Skills: Knowledge of UNIX/Linux. Proficiency with scripting in Python and statistical programming using R. + Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. + Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight. **MINIMUM JOB QUALIFICATIONS:** Minimum Education: Bachelor's degree in a computer science or related-STEM field required. Minimum Experience: No prior experience required. **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Computational Skills: Knowledge of UNIX/Linux. Proficiency with scripting in Python and statistical programming using R. + Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. + Collaboration: 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. + Familiarity with bioinformatics data types and software preferred + Familiarity with GitHub and HPC preferred + Passion for science and strong motivation required. + Must be a strong team player. + Strong interpersonal, communication and organizational skills, including the ability to handle a variety of tasks in a fast-paced environment, positive attitude and attention to detail, as well as ability to think on one's feet are required. + Must possess a high level of initiative, curiosity and dedication, proactivity in identifying problems and solutions to address them. + Familiarity with bioinformatics data types (e.g. FastQ, BAM, BigWig) and software (e.g. DeepTools, MACS, HOMER) preferred. + Familiarity working with Git repositories preferred. + Familiarity with computational methods for single-cell sequencing data preferred. **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 - $67,466 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. **EEOC Poster**

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. **MINIMUM JOB QUALIFICATIONS:** Minimum Education: Bachelor's degree required in a STEM field required. Minimum Experience: No prior experience required **.** **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Computational Skills: Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R. + Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. + Collaboration: 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. **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 - $67,466 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. **EEOC Poster**

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. Responsibilities PRIMARY DUTIES AND RESPONSIBILITIES: 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. Works closely with postdoctoral fellows and graduate students in the lab and computational biology collaborators at the Dana-Farber Cancer Institute and the Broad Institute to analyze biological data sets, including but not limited to DNA and RNA sequencing, gene expression and transcriptome analysis, chromatin landscape profiling, and analysis of microscopy/imaging data. Modifies and maintains existing data-processing pipelines in the lab, and develops new pipelines and tools to analyze novel forms of data, including data cleaning, normalization, and visualization. Integrates multiple data sets to answer targeted scientific questions. Documents and compiles findings in oral and written reports. Attends team meetings to share results, plan projects and experiments. Maintains and improves technical knowledge base. Other related tasks as required. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: * Computational Skills: Knowledge of UNIX/Linux. Proficiency with scripting in Python and statistical programming using R. * Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. * Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight. Qualifications MINIMUM JOB QUALIFICATIONS: Minimum Education: Bachelor's degree in a computer science or related-STEM field required. Minimum Experience: No prior experience required. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: * Computational Skills: Knowledge of UNIX/Linux. Proficiency with scripting in Python and statistical programming using R. * Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. * Collaboration: 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. * Familiarity with bioinformatics data types and software preferred * Familiarity with GitHub and HPC preferred * Passion for science and strong motivation required. * Must be a strong team player. * Strong interpersonal, communication and organizational skills, including the ability to handle a variety of tasks in a fast-paced environment, positive attitude and attention to detail, as well as ability to think on one's feet are required. * Must possess a high level of initiative, curiosity and dedication, proactivity in identifying problems and solutions to address them. * Familiarity with bioinformatics data types (e.g. FastQ, BAM, BigWig) and software (e.g. DeepTools, MACS, HOMER) preferred. * Familiarity working with Git repositories preferred. * Familiarity with computational methods for single-cell sequencing data preferred. 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 - $67,466 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. EEOC Poster

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. Responsibilities * 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. Qualifications MINIMUM JOB QUALIFICATIONS: Minimum Education: Bachelor's degree required in a STEM field required. Minimum Experience: No prior experience required. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: * Computational Skills: Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R. * Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required. * Collaboration: 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. 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 - $67,466 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 equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse 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. EEOC Poster

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.

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 Please email all materials to the Fellowship Director, Roger Dias, MD, PhD, MBA at ********************* by July 31st, 2025. The Neil and Elise Wallace STRATUS Center for Medical Simulation is committed to advancing medical education, patient safety, and healthcare outcomes through cutting-edge applications of medical simulation technologies supported by innovative curricula, contemporary educational methodologies, continuous improvement, and rigorous, multidisciplinary research. At STRATUS, the Medical AI & Cognitive (MAICE) Lab, led by Dr. Roger Dias, MD, PhD, MBA, brings together a multidisciplinary team of clinicians, engineers, psychologists, computer scientists, and educators, including collaborations with several scientists and institutions, nationally and internationally. The core mission of our research lab involves the use of cutting-edge technologies to objectively measure and improve clinicians' performance, with the ultimate goal of enhancing patient safety and improving clinical outcomes. Our projects have been funded by NASA, NIH, DoD, and NSF, leveraging machine learning and artificial intelligence to support high-performance clinical care in a variety of settings, including emergency medicine, critical care, surgery, space, and military medicine. The Postdoctoral Fellowship in Medical AI is intended for graduates of doctoral programs in Science, Technology, Engineering, and Mathematics (STEM) with a solid foundation in applying advanced ML/AI techniques to tackle complex problems in healthcare. The program is ideal for early-career scientists seeking additional experience in the healthcare field, as well as opportunities to apply AI/ML technologies and software engineering to improve patient care and safety. The research fellow will be mentored by a multidisciplinary team of experts, allowing her/him to gain extensive knowledge and experience in diverse research areas including medicine, human factors, cognitive science, behavioral sciences, and aerospace and military research. The successful candidate will conduct research and development within the emerging field of medical AI, applying advanced programming and software engineering skills. The research fellow will design and develop software architectures and train and evaluate ML/AI models to create AI-based solutions and integrate them with large multi-source clinical databases, including time-series physiological data, demographics, behavioral and psychological assessments, video, audio, electronic health records (EHR), and clinical performance outcomes. The fellow will also develop AI-based medical simulation applications and real-time clinical decision support systems. Qualifications Required: All applicants must have a Ph.D. in a STEM discipline, with extensive knowledge, skills, and demonstrated experience in software development, AI/ML modeling and evaluations. These are the required qualifications: Proficiency in Python and/or C++ Familiar with signal processing and time series analysis Familiar with cloud computing services and API Demonstrated experience with AI/ML training and model evaluations, including neural networks and/or large language models Demonstrated experience with TensorFlow and/or PyTorch and/or Scikit-learn Demonstrated prior experience in applying AI/ML in the medical field Demonstrates research experience as lead author in peer-reviewed scientific publications Preferred: Previous experience with computer vision (e.g., convolutional neural networks) and/or visual language models Salary and Benefits The selected candidate will be appointed for two years, with the opportunity to renew the appointment for a third and/or fourth year pending performance review and funding. Salary will be commensurate with experience, based on BWH guidelines for postdoctoral trainees. Benefits include comprehensive health insurance, optional dental, vision, and retirement plans, and reimbursement for conference travel related to fellowship projects. BWH is a Harvard-affiliated Teaching Hospital, and the research fellow with be eligible for an appointment at Harvard Medical School. The following items are considered in the application process: 1. Current CV 2. Recent work sample (e.g., peer-reviewed manuscript, pre-print, GitHub code, software demo) 3. At least three peer-reviewed publications in which the candidate was a significant contributor 3. Candidates selected for an interview will be asked to submit two letters of recommendation. Application materials & queries should be emailed to: Roger Dias, MD, PhD, MBA at ********************* Director of Research & Innovation Associate Professor of Emergency Medicine, Harvard Medical School Additional Job Details (if applicable) Remote Type Hybrid Work Location 10 Vining Street EEO Statement: 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.