Bioinformatics Jobs

About Revalia: Revalia is pioneering Human Data Trials - a new paradigm for accelerating translational medicine by linking donated human organs to cutting-edge research. Our platform provides biotech, pharma, and medtech innovators with unparalleled access to human biology at scale, reducing reliance on animal models and speeding the path to patients. About the role: Revalia is pioneering Human Data Trials: a new paradigm for accelerating translational medicine by linking donated human organs to cutting-edge research. Our platform provides biotech, pharma, and medtech innovators with unparalleled access to human biology at scale, reducing reliance on animal models and speeding the path to patients. We are seeking a Data Scientist with a strong foundation in multi-omics data processing and a broader command of computational biology and bioinformatics. The ideal candidate brings both the versatility to integrate and analyse multi-omics datasets, spanning genomics, transcriptomics, and proteomics, and the technical depth to extract meaningful signal from complex, high-dimensional biological data. In this role, you will design and maintain robust analytical pipelines that underpin our data platform, supporting the translation of large-scale biological datasets into actionable scientific insight. You will work at the intersection of research and engineering, contributing to infrastructure that scales with our programs and delivers analytical capabilities that directly shape our scientific and operational priorities. We are looking for someone who combines advanced programming proficiency with a solid grounding in statistical and mathematical modelling, and who brings genuine intellectual curiosity to the problems they work on. The candidate must have an interest in (or prior exposure to) organ perfusion biology and ex vivo research models. What you'll do Work with our Human Data Trials Operations, Innovation, and Engineering teams to answer scientific questions by utilizing available data and modelsDesign and execute pipelines for next-generation sequencing (NGS) data processingIntegrate omics data with other biological data types (e.g., clinical metadata, imaging, sensor data) for multi-modal analysisPerform statistical and machine learning-based analyses to detect patterns, quantify phenotypes, and support hypothesis-driven researchCollaborate cross-functionally with scientists, software developers, and domain experts to define project goals and deliver actionable insightsMaintain and optimize analysis pipelines for scalability and reproducibility using version control and containerized environments (e.g., Docker)Present findings through reports, visualizations, and scientific publications or presentationsStay current with advances in omics analysis, AI/ML techniques, and biological imaging technologies Qualifications Proficiency in analysis of at least two omics data types (e.g., bulk and single-cell RNA-seq, proteomics, metabolomics) with demonstrated experience integrating across modalitiesFamiliarity with standard bioinformatics toolkits (e.g., Seurat, Scanpy, DESeq2, limma, or equivalent) and awareness of when to use themExperience building and maintaining reproducible pipelines (Nextflow, Snakemake, or similar)Hands-on experience with multi-omics data integration frameworks (e.g., MOFA+, DIABLO, Weighted Correlation Network Analysis) and an understanding of their assumptions and limitationsFamiliarity with pathway enrichment and network-based analysis approaches (e.g., GSEA, ORA, STRING, or similar) to contextualize multi-omics findings biologicallyComfortable working with reference databases and annotation resources relevant to the omics types in scope (e.g., Ensembl, UniProt, MSigDB, KEGG)Strong proficiency in Python and/or R for data science and omics analysisSolid knowledge of version control systems (Git and GitHub) with collaborative workflowsFamiliarity with Linux environments, high-performance computing, and cloud-based workflows (AWS)Master's or Ph.D. in Computational Biology, Bioinformatics, Bioengineering, Computer Science, or a related field and 3+ years of experience in data science with knowledge of the biomedical industryAccepted: Master's or Ph.D. in Electrical Engineering, Statistics, Applied Mathematics, or a related field and 5+ years of experience in data science with knowledge of the biomedical industry Bonus Skills Experience with dimensionality reduction and clustering methods as applied to high-dimensional biological data (PCA, UMAP) and the ability to critically interpret outputsExperience with ETL processes and high-performance data pipelines, including relevant data formats (Parquet, Delta Lake, Iceberg)Proficiency in processing and analyzing imaging data, including microscopy and/or CT imagingExperience with imaging toolkits such as CellProfiler, FIJI/ImageJ, or Python-based equivalents (e.g., scikit-image, napari) Culture Requirements Model Revalia Bio's Company Values of world class collaboration, cultivating deep trust, relentless adaptability, and to persevere with uncommon grit.Display high levels of personal integrity and be able to express opinions or concerns directly and without triangulation, demonstrating honesty, openness, and a positive outlook at all times.Seek to promote collaboration and be curious (and not judgmental) about opposing opinions.Ability to adapt to changing business needs or to personal development opportunities. Able to fully embrace feedback and training to continuously improve performance and relationships.Display determination and perseverance to problem solve, create, innovate, and develop.Demonstrate commitment to own personal growth and development. Be "all-in" when participating in Company activities and programs related to personal and professional development and training.Commitment to the growth and development of their team including participation in 360 reviews where requested. Location This position is fully remote with the expectation to travel quarterly to our office in New Haven, CT. Compensation, Benefits, and Diversity Commitment Our compensation structure includes a base and semi-annual bonus. The range for this role is $150,000 - $180,000 annually. Revalia Bio operates a growth culture focused on High Performance Teams and individual personal development. Along with monthly coaching, we provide extensive opportunities for professional development, training and mentoring. Revalia Bio provides comprehensive benefits including Health, Dental, Vision, Retirement, Disability, and a wellness program available on day one of employment. Full-time employees are eligible for up to 5 paid sick days and 23 PTO days per calendar year, excluding national holidays. Revalia Bio acknowledges and celebrates the diversity of our workforce, is dedicated to creating an equitable workplace, is committed to fostering an inclusive environment, and aims to create a workplace culture where every individual feels a sense of belonging. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender, gender identity or expression, age, disability, or genetic makeup. For individuals with disabilities who would like to request an accommodation please email culture@revaliabio.com. #Fulltime The pay range for this role is: 150,000 - 180,000 USD per year (Remote)

Title: Research Associate II Pay range: $44.00 - $57.00 Work Schedule: M-F 9am-5pm EST Location: Waltham, MA Contract Length: 12 months Description: Sanofi's contingent workforce program, FLEXT Direct, is seeking a Research Associate II for a 12-month contract opportunity to join the Next Generation Sequencing (NGS) Core group. This role supports genomic analyses of multiple therapeutic modalities within the Genomic Medicine Unit (GMU) CMC organization. The Research Associate II will lead the analysis of gene therapy-driven projects, working cross-functionally to develop and implement genomic analytical solutions for programs spanning precandidate selection through late-phase clinical development. The ideal candidate will support end-to-end NGS analysis solutions through analytical pipeline design and execution. Strong independent problem-solving and troubleshooting skills are preferred. Key Responsibilities: Support computational needs for the development and validation of NGS-based assays. Collaborate with a multi-disciplinary team of scientists and engineers to implement genomic analytical solutions for programs spanning precandidate selection through late-phase clinical development. Develop, execute, and maintain NGS analysis pipelines for execution in cloud-based computational environments. Keep records of development work and testing in a GxP environment utilizing electronic notebook solutions. Represent the group at internal meetings. Basic Qualifications: Degree in a relevant computer science discipline with a minimum of 3 years of relevant industry experience. Minimum of 1 year experience with NGS, including knowledge and hands-on dry-lab experience. Expertise in bioinformatics with a working understanding of genomic analysis solutions (e.g., FastQC, Bowtie2, SAMtools, NCBI BLAST+, Nextflow, etc.). Scripting experience in coding languages (e.g., bash, awk, Python, R, etc.). Understanding of NGS platforms, specifically those utilizing the synthesis-by-sequencing technique (i.e., Illumina platforms). Ability to work independently and adapt under aggressive and/or changing timelines. Preferred Qualifications: Familiarity with the software development lifecycle (e.g., Git). Experience with automated unit testing for test-driven design (TDD). Familiarity with basic molecular biology techniques (e.g., ligation, PCR, and qPCR) as well as nucleic acid extraction and analysis techniques (e.g., Nanodrop, DNA fragment analyzers, ddPCR, etc.). Knowledge of and experience with other sequencing platforms (i.e., SMRT sequencing). Prior experience in leading the internalization of custom NGS analysis pipelines is highly preferred. Wet-lab method development experience to support NGS workflows.

A fast-paced biotech team is seeking a Computational Biologist to lead bioinformatics efforts in antibody discovery and engineering. This role is ideal for someone who thrives at the intersection of data science and molecular biology, and is excited to contribute to the development of novel biologics. Key Responsibilities Analyze genomic and RNA-Seq datasets from public repositories to identify new therapeutic targets Oversee external efforts to verify gene sequences not yet available in public databases Lead development of intuitive databases housing antibody repertoire sequences Design and implement streamlined data entry workflows in Benchling for improved organization and accessibility Apply in-silico design strategies and software tools to remediate antibody sequence liabilities and enhance biophysical properties Support external collaborations focused on machine learning applications in antibody discovery Curate and integrate relevant genomic and transcriptomic datasets Analyze antibody libraries using clustering methods such as clonotyping and sequence-based grouping

The Bandopadhayay Laboratory (www.bandolab.org) based at the Dana-Farber Cancer Institute and Broad Institute seeks a Bioinformatics Analyst to join in efforts to develop and apply cutting-edge genomic technologies to determine optimal treatment strategies for children with brain tumors. This Bioinformatics Analyst will be co-mentored by our collaborator Dr. Rameen Beroukhim (www.beroukhimlab.org) and will be involved in cross-disciplinary efforts to generate large datasets describing genetic changes across pediatric brain tumors and other cancers, and to develop and apply sophisticated statistical and computational approaches to analyzing these data. These datasets include DNA sequencing, RNA sequencing and epigenetic sequencing, both at bulk and single-cell level. The aim of these efforts will be to characterize mutations that cause pediatric brain tumors and to determine how to treat patients with these cancers. The Bioinformatics Analyst will be involved in cross-disciplinary efforts to generate large datasets describing genetic changes across pediatric brain tumors and other cancers, and to develop and apply sophisticated statistical and computational approaches to analyzing these data. 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 ability to collaborate closely with other members of a research team is essential. CHARACTERISTIC DUTIES: · Apply existing analytic algorithms to large genomic datasets. · Work with researchers and computational biologists to develop and code new algorithms. · Interact with users and other stakeholders to determine and prioritize requirements. A minimum two-year commitment is required.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. Interprets complex biological information. Performs tasks to reduce and consolidate output from software. Prepares data for utilization by other scientists. Monitors new data from public databases, finds and loads missed data, cleans loaded data to satisfy quality control criteria. Must be able to query various sources for the information needed; i.e., the Web, publications and internal DFCI resources. Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data. Implements end-users’ needs in database searching and integration. Maintains the computational infrastructure and controls the flow of samples and information for large-scale studies. Recognizes and reports problems with the data management process and fixes the problems whenever possible. MINIMUM JOB QUALIFICATIONS: Bachelors degree required, MS preferred or PhD in bioinformatics, computer science and/or the life sciences and 0-2 years relevant experience. Performs primary duties as above as directed and requires close to moderate supervision. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Familiarity with simple programming using Perl/Python or Java, C/C++, statistical programming using R or related tools, web-development, and database query through SQL. Familiarity with principles of experimental design and modern data analysis paradigms is required. Strong interpersonal skills – ability to effectively interact with all levels of staff and external contacts. Excellent analytical, organizational and time management skills. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster.Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $58,400.00 - $80,400.00

The Department of Biology at Tufts University invites applications for an in-person, non-tenure-track faculty position as Professor of the Practice in Bioinformatics. This role emphasizes teaching and mentoring in applied bioinformatics, program leadership, and engagement with industry and external partners. This position will support and expand the Bioinformatics specialization within the Biology Master’s program, which is designed to introduce students with undergraduate training in biology to core bioinformatics concepts and tools through didactic coursework and hands-on learning and prepare them for careers in academia, industry, government, non-profits, and related sectors. For more information about the program, see https://as.tufts.edu/biology/academics/graduate-programs/ms-biology/bioinformatics-specialization-biology-oc-ms-program . The successful candidate will be an experienced practitioner in bioinformatics or a closely related field, with demonstrated expertise in real-world applications and prior experience working in and/or collaborating closely with non-academic settings (e.g., biotech/pharma, government, NGOs). The full-time Professor of the Practice would create and supervise a bioinformatics capstone course, in which students will work 1:1 with a mentor to integrate statistical, computational, and biological knowledge to solve a real-world bioinformatics problem, going from raw data to biological interpretation, and teach one other graduate-level course in bioinformatics that matches the candidate’s expertise and is accessible to biology-trained students. They would also support students’ professional development by providing career advising and mentorship and engaging with external partners across biotechnology, pharmaceutical, government, non-profit, healthcare, and related sectors. Finally, they would administrative leadership to the bioinformatics specialization by coordinating curriculum, programming, admissions, program visibility, and academic support activities, in close collaboration with Biology faculty and staff. A part-time position is possible for the right candidate and would be scaled according to the percent of time. Applicants should hold a Ph.D. in bioinformatics, computational biology, or a related discipline and maintain active engagement in professional practice (e.g., industry, government/non-profit, or consulting). The full-time Professor of the Practice would be expected to continue to spend time in their professional practice outside of Tufts (max 20% effort). Prior teaching or mentoring experience is preferred, which could include undergraduate/graduate instruction, professional education, mentorship of trainees or employees, or similar activities. The successful candidate will be evaluated based on excellence in teaching, advising, program administration, and external engagement, as well as their continued professional contributions to the field. Applicants should submit to https://apply.interfolio.com/185031 the following: a cover letter, curriculum vitae, and separate statements of (a) research and/or practice interests, (b) experience in biotechnology/biopharma or other non-academic settings, and (c) teaching/mentoring experience and philosophy. Applicants of strongest interest will subsequently be contacted to submit three letters of recommendation uploaded directly by recommenders to Interfolio. Review of applications will begin on May 1 and continue until the position is filled. For questions on this position please contact Jessica Orlando at jessica.orlando@tufts.edu. All offers of employment are contingent upon the completion of a background check. Tufts University is committed to providing competitive and equitable compensation that reflects each candidate?s experience, expertise, responsibilities, and performance. The pay offered within the posted range will be determined based on a variety of factors such as (but not limited to) the individual?s education and experience, discipline, rank, internal equity, and budgetary considerations. Ranges represent full-time 9- or 12- month base salaries. Tufts University, founded in 1852, prioritizes quality teaching, highly competitive basic and applied research, and a commitment to active citizenship locally, regionally, and globally. Tufts University is an Equal Opportunity Employer. See the University?s Non-Discrimination statement and policy here https://oeo.tufts.edu/policies-procedures/non-discrimination/ . If you are an applicant with a disability who is unable to use our online tools to search and apply for jobs, please contact us by calling the Office of Equal Opportunity (OEO) at 617-627-3298 or at oeo@tufts.edu . Applicants can learn more about requesting reasonable accommodations at https://oeo.tufts.edu/

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Medical School? Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership. You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Job Description Job Summary: Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions. Develop software and data services with researchers to ensure that modern standards of reproducible code are kept. Job-Specific Responsibilities: We are looking for a highly skilled Bioinformatics Software Engineer who specializes in designing, developing, deploying, and maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The candidate will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, cloud computing, and cloud software engineering best practices. This role will support research and production environments where reproducibility, scalability, and performance are critical. Job Description: Design, implement, and maintain bioinformatics pipelines for high-throughput sequencing data (e.g., alignment, QC, variant calling from WGS and RNA-seq) similar to those in existing repositories: https://github.com/smaht-dac/main-pipelines.Build reproducible, well-tested, and automated workflows using workflow management systems (particularly CWL).Architect and manage AWS-based compute infrastructure to support pipeline execution, including automated deployment, scaling, and monitoring.Containerize workflows using Docker or similar tools for managed execution and portability.Integrate CI/CD tooling to automate testing, deployment, and version control to ensure data integrity and correct execution of the pipeline.Develop utility tools for metadata management, file integrity checks or conversion (e.g., VCF, BAM to CRAM), and integration with the SMaHT Data Portal.Collaborate cross-functionally with research scientists, engineers, and IT teams to refine requirements and deliver high-quality solutions.Document code, workflows, and infrastructure configurations clearly. Qualifications Basic Qualifications: Minimum of five years’ post-secondary education or relevant work experience. Additional Qualifications and Skills: PhD in computational biology/bioinformatics/statistics/CS or another quantitative field is strongly preferred.Superb programming skills, especially in Python and shell scripting, and communication skills are strongly preferred.Extensive experience with analysis of high-throughput sequencing data and knowledge of bioinformatics tools for sequence alignment, variant calling, sequence data QC, etc. Proficiency in Docker for creating a reproducible execution environment and Workflow Description Language for orchestrating complex tasks.Strong understanding of AWS services (EC2, S3) or similar cloud platforms for compute and storage.Version Control & CI/CD: Git, automated testing, deployment workflows.Experience with Linux systems, HPC, and distributed computing environments.Knowledge of optimizing pipelines for large-scale genomic projects. Additional Information Appointment End Date: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position. Standard Hours/Schedule: 35 hours per weekVisa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.Pre-Employment Screening: IdentityOther Information: Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.#LI-DK1 Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 057. Please visit  Harvard's Salary Ranges  to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: Generous paid time off including parental leave Medical, dental, and vision health insurance coverage starting on day one Retirement plans with university contributions Wellbeing and mental health resources Support for families and caregivers Professional development opportunities including tuition assistance and reimbursement Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page. EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Work Location: Billerica, Massachusetts Shift: No Department: HC-RD-XO4 Oligonucleotide Chemical Conjugation Recruiter: Beverly Dellisola This information is for internals only. Please do not share outside of the organization. Your Role: EMD Serono in Billerica, MA is seeking a Senior Scientist – Oligo Bioinformatics to add to their Oligonucleotide Therapeutics Group (DDTech). Responsibilities: Develop pipelines that determine mapping coordinates and homology of oligonucleotides to genomes and transcriptomesDesign and build pipelines that process and analyze related data, store summary results and integrate with the corporate ELNDevelop pipelines that determine mapping coordinates and homology of oligonucleotides to genomes and transcriptomesDevelop, deploy, manage, and run applications using Docker containersDiscovery and development of oligonucleotide therapeutics Who You Are: Minimum Qualifications: PhD in Chemistry, Chemical Engineering, Computer Science or other Science field with 3+ years of direct experience in siRNA/ASO/SSO Preferred Qualifications: Experience with common human genetics resources and techniquesDeployment of interactive applications from scripting languages like R and Python (Shiny and streamlit)Experience with relational databases; hands on experience with MySQLExperience in common NGS analyses task such mapping reads, quantification of gene expression, and/or variant callingExperience with common bioinformatics tools like Samtools, GATK, Bowtie, HISAT2, BLAST, htseq-count, DESeq, Salmon, STAR, or SubreadKnowledge of Illumina sequencing data analysis is necessary and experience with PacBio and/or Nanopore sequencingFamiliarity with UNIX computing environment and proficiency in either Python or R scriptingExperience with docker and Nextflow pipelineAbility to communicate finding of NGS data to a general scientific audience in both oral and written forms Pay Range for this position: $111,100 - $166,600 The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

We are seeking a highly motivated and talented Bioinformatics Specialist to support Dr. Vamsi Mootha’s lab, which is co-located at Massachusetts General Hospital and Broad Institute. The Mootha lab focuses on mitochondria – often called the “powerhouse of the cell” -- and combines the modern tools of genomics and computation with classical biochemical physiology to investigate this organelle in health and in disease. The laboratory has both basic science goals (e.g., understanding the origins, diversity, and biochemistry of mitochondria) as well as very applied goals (e.g., to improve the diagnosis and treatment of a range of human conditions, from rare inborn errors of metabolism to neurodegeneration to cancer and aging. More information about the lab can be found on their website. We are targeting someone who has a strong proven track record in computational biology, is adept at computer programming, has a strong command of statistical data analysis and data visualization, who will work as a Computational Biologist. As a Ph.D. Data Scientist, you will join a dynamic team of ~25 post-docs and professional scientists dedicated to high-impact discovery and pursue your own, independent projects while also supporting those of other wet-lab scientists. This is a rare opportunity to be part of an exciting team of leaders in biochemistry, computational biology, and clinical medicine, with ample opportunities for co-authorship on high-impact publications. Application Instructions All items listed below MUST be included in your application for full consideration. A cover letter including a summary of your research experience, highlighting your 1st author papers, and details your proficiency in modern computational biology. Your curriculum vitae includes a list of publications with brief (2-3 sentences) descriptions of your specific contributions to the published work. Your GitHub Handle. What we provide: A competitive compensation package with comprehensive health and welfare benefits. Being part of the vibrant scientific and medical communities at Massachusetts General Hospital and Broad Institute. Opportunity to be a core part of a highly collegial, collaborative, dynamic team doing mission-driven fundamental research. Opportunities for professional development and growth. What you’ll do: Analyze and integrate high-dimensional multi-omics data (DNA sequencing, RNA-seq, single cell RNA-seq, proteomics, and metabolomics). Apply existing computational methods using best practices. Work closely with lab members to influence all aspects of a project’s lifecycle, from initial experimental design and data capture to quality control, statistical inference, and biological interpretation. Resolves hardware, software, and/or network problems to ensure adequate support to the lab. Work closely with scientists to understand analytical workflows and help improve quality and performance in data acquisition and analysis. Develop computational pipelines to meet analytical needs of lab. Performs complex computer analysis activities of relevant data. Develop procedures for collecting, qualifying, editing, verifying, and managing experimental and statistical data. Evaluate, develop, and test software solutions to support experimental and analytical workflows. Design, prototype and implement computational algorithms for processing large datasets in various languages and frameworks. Pursues independent research projects with the Investigator while also aiding members of the lab on their projects. Works on or manages projects of where time frame may not be clear and where end results may be uncertain. What you bring: PhD in Computational Biology (or statistics with biological applications) Cloud computing experience. Proficiency running bioinformatics pipelines in R, Matlab, and/or Python. Proficiency in data analysis, data visualization, and statistical inference. Ability to perform independent research and to apply experience to develop new methodologies. Actively seeks opportunities to increase skills and expertise. Remains technically competent at the leading edge of research. A willingness and patience to aid early career researchers. Curiosity, strong work ethic, strong collaborative spirit, desire to have a positive impact in biomedicine Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word “may,” the Essential Duties and Responsibilities described above are “essential functions” of the job, as defined by the Americans with Disabilities Act. #LI-LL1

Position Summary Research Computing supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with scientists to develop solutions in support of cutting-edge research ranging from lattice light-sheet microscopy to CryoEM, genomics, and informatics. You will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq and spatial transcriptomics data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies. Key ResponsibilitiesProviding computational support by applying a wide range of bioinformatics tools and technologies; With supervision and direction, completing assignments in the required timeframe while consistently adhering to standard operating procedures and best practices; adapting to a changing environment, resolving problems associated with assignments and seeking supervisor assistance when needed.Routinely co-leading or participating in research computing projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; coordinating work activities with other stakeholders; contributing to the resulting presentations and/or publications.Training staff and researchers; effectively tailoring presentations.Communicating scientific findings clearly through presentations, email, memos, and scientific publications; presenting progress at project and departmental meetings; facilitating productive discussions and problem-solving. Minimum Qualifications Education: Bachelor's degree in science, technology, engineering or mathematics. Ph.D. in Bioinformatics, Computational Biology or related preferred. Experience:Minimum of one year of advanced bioinformatics experienceExtensive knowledge of the use of open-source bioinformatics software and pipelines in high-performance computing (HPC) environments.

Job Description Pay Range: $150,000.00 - $170,000.00 / year Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. Benefits Information: We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include: · Day 1 Medical, supplemental health, dental & vision for FT employees who work 30+ hours · Best-in-class well-being programs · Annual, no-cost health assessment program Blueprint for Wellness® · healthyMINDS mental health program · Vacation and Health/Flex Time · 6 Holidays plus 1 'MyDay' off · FinFit financial coaching and services · 401(k) pre-tax and/or Roth IRA with company match up to 5% after 12 months of service · Employee stock purchase plan · Life and disability insurance, plus buy-up option · Flexible Spending Accounts · Annual incentive plans · Matching gifts program · Education assistance through MyQuest for Education · Career advancement opportunities · and so much more! Complete oversight of BME operations for large, complex sites and/or multiple sites to ensure service program efficiency and to satisfy the equipment support needs of the company. The purpose of the BME Sr. Manager position is to develop, coordinate, and expand the BME program as necessary to ensure all aspects of service (internal and external) for all lab instrumentation and general lab equipment satisfy the quality and regulatory requirements and service needs for each lab, enabling operations to run efficiently, profitably, and with excellent quality. We are a leading oncology diagnostics company dedicated to advancing precision medicine through cutting edge ultra-sensitive genomic technologies. As we expand our portfolio of minimal residual disease (MRD) testing solutions, we are seeking a highly skilled and motivated Bioinformatics Scientist to join our team. This role offers the opportunity to contribute to the development and implementation of bioinformatics methods that directly impact cancer patient care, enabling improved monitoring, and more informed treatment decisions. As the Regional Manager of Bioinformatics Operations team, you will lead the east region directly contributing to our focus of delivering actionable diagnostic insights that enable superior patient care. The focus of this role is to oversee and deliver high quality, stable and efficient Bioinformatics Pipelines and Applications in our genetic laboratories. You will work in an agile environment, foster innovation and lead the team in validating, supporting, and extending fully automated clinical-grade analysis pipelines and applications that meet the needs of our customers. This role partners closely with business stakeholders, Product Owners, Bioinformatics Research Engineers, Laboratory/Medical Scientists, and Enterprise IT etc. You will ensure the appropriate service levels and sample TATs are maintained. Define and implement the vision, strategy, and roadmap for quality products across the region both on prem and in the cloud. This professional will work in a hybrid capacity with 3 days required onsite at our Marlborough, MA location. Responsibilities: Manage a team of bioinformaticians and drive accountability in order to support clinical genomics operations. Efficiently manage the daily bioinformatics support needs, meeting business SLAs and TAT targets. Work closely with the laboratory operations team to support samples moving through production. Manage incidents through timely and effective communication, collaboration, escalation and expeditious resolution of issues. Define and improve on-call schedules for incident response. Creatively organize, build, and schedule a team of employees to provide full operational coverage across the region. Maintain logs, audit trails, and health monitoring dashboards for operational resilience. Monitor daily operational performance metrics and proactively address bottlenecks. Manage the systems associated with Bioinformatics Operations that support the production samples on premises and in the cloud. Familiarize and use the electronic document management systems, as needed for appropriate compliance documentation need. Leverage planning and software development tools like Atlassian JIRA and Confluence, Smartsheets, etc, to effectively document, communicate and align with the teams. Drive configuration, adoption and efficient usage of ticketing tools like ServiceNow. Ensure raw and processed data integrity, retention and secure archival in line with Quest policies. Collaborate with respective IT teams as needed. Work with Data Governance teams to maintain metadata accuracy and controlled access. Lead and manage validation, quality control, documentation, automation, and support cross functional bioinformatics projects. Collaborate with bioinformatics research and engineering teams on software version upgrades, tech. transfer, and product launches. Work with engineering teams to maximize the quality and safety of our product offerings by expanding our existing CI/CD pipelines and layering them with data-driven process controls for daily product integrity checks. Support our culture of continuous improvement with a will to win. Continuously work to employ agile methodology principles and improve best practices in software development, software deployment, process documentation with application and workflow version controls, and automated testing that satisfies, at minimum, requirements from accreditation/regulatory bodies such as CAP, CLIA, ISO and the FDA. Engage and synchronize efforts with other regional managers across the US and the EU. Implement a framework for competency training, mentoring the team and assessment across the support staff. Evaluate the talent level of employees, annual goal setting, and drive actions to develop employee talent and address performance issues. Identify and provide training and career growth opportunities for team members, with focus on upskilling. People Leadership: Team of technical resources 5-7 full-time employees and contractors. Qualifications: Required: At least 7 years of software engineering experience or related. A solid background in bioinformatics engineering, software development, technologies, standards, etc. Strong understanding of software best practices and agile methodology to serve as role model for the team and maintain a high level of quality and scalability on the technical as well as scientific side. Experience with building highly automated and optimized bioinformatics solutions applicable to AWS cloud and on-prem computing environments. Proven success leading engaged and high performing teams. Influences and communicates effectively with non-technical audiences including senior business executives and managers. Demonstrated leadership skills, project management skills, strong written and verbal skills, and organizational skills. Proven ability to drive process with indirect authority to project team members. A sharp thinker who quickly grasps the technical implications of business processes, and able to provide valuable insight into the perspectives of users, managers, developers, and other stakeholders. Comfortably moves between highly varying levels of abstraction from business strategy to IT strategy to high-level technical design. Team player mindset and ability to work in an interdisciplinary team. Goal-oriented, self-motivated, and driven to make a positive impact in healthcare. Preferred: Experience with bioinformatics best practices, genomics, and healthcare. Experience with building or managing LIMS, variant interpretation platforms and other such bioinformatic systems. Experience with sensitive patient data (HIPAA regulations) and working in regulatory environments eg CLIA, CAP, FDA. Experience working with multi-cultural, international teams. Competencies: Workflow automation and orchestration Scripting Version control (Git), CI/CD practices Data security and compliance awareness Team leadership Project management (Time management, organizing, planning) Strong interpersonal skills with ability to develop, maintain effective relationships Drive for results Excellent problem solving and critical thinking Collaboration skills Education: B.S. in Computer Science, Software Engineering, or a related field. (Required) MSc/PhD degree in Computer Science, Software Engineering, Bioinformatics (Preferred) Certification: Agile Certification (Preferred) #LI-SH1 50061 Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.