Bioinformatics Jobs

Category Boston University Medical Campus --> Professional Job Location BOSTON, MA, United States Tracking Code 25500870360506 Posted Date 5/9/2025 Salary Grade Grade 45 Position Type Full-Time/Regular We are seeking a bioinformatics software engineer to lead the development, deployment, and maintenance of a software tool for the generation, storage, organization, and interactive retrieval of omics signatures. The position will require database, software development, and interface development skills, as well as the ability to analyze data from multiple omics assays (transcriptomics, proteomics, metabolomics, etc.). The position will also require proficiency in R, SQL, and API programming, as well as containerization and cloud deployment fluency. Required Skills Role requires Bachelor's plus 1-3 years of experience or Master's degree in related field. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. The Computational and Bioinformatics Group within ADME-Tox applies innovative approaches to accelerate next-generation medicines for unmet medical needs. We drive innovation by integrating bioinformatics, automation, and ML/AI into actionable solutions to speed up discovery and mitigate toxicity. We seek a dedicated and collaborative senior bioinformatician to join our group in Indianapolis, Indiana. As a core team member, you will develop novel solutions to tackle challenging problems in a multidisciplinary team setting. What we are looking for: • A skilled and creative scientist to play a vital role in our mission to provide innovative medicines. • A candidate with the ability to build and use advanced informatic tools and strategies to generate and analyze complex multidimensional data sets. This work will primarily support early drug discovery efforts but will also be aimed at developing a deeper understanding of preclinical to clinical translation. • Strong communication skills with the ability to engage with key partners, to develop and implement novel bioinformatic and computational tools in drug discovery. This includes contributing to project teams and acting as a senior scientific consultant. • A senior, accomplished leader that will spearhead internal and external collaborations to develop innovative strategies that impact drug discovery. Responsibilities: • Applying statistical methods to interpret structural and biological data, including hypothesis testing, regression analysis, and machine learning algorithms to identify patterns and relationships within complex preclinical ADME and Toxicology datasets. • Designing and building customized data analysis pipelines to efficiently process and analyze large-scale biological datasets, which may be broadly applied to other areas. • Apply AI/ML tools and generative AI models and integrate findings with existing knowledge to advance translational sciences. • Collaborate closely with project teams to influence experimental design, assay development, data generation and analysis. • Independently design and implement research projects in areas with unmet needs. • Prepare and present technical and scientific reports for both internal and external audiences. • Provide guidance and training to junior scientists on data analysis techniques, software usage, and standard processes. Technical/Functional Expertise: • Proficiency in programming languages commonly used in bioinformatics like Python, and R. • Expertise in statistical methods including linear regression and multivariate analysis. • Experience working with cloud (AWS) and/or high-performance computing environments. • Experienced in pathology data outputs, large-scale omics, high-throughput data analysis, network analysis, meta-analyses and AI/ML models for discovery and translational research. • Proficient in developing data strategies and integrating complex datasets. • Effective communication and project management skills. Minimum Requirements: • PhD degree with 7+ years relevant experience in pharma bioinformatics Additional Skills/Preferences: • Strong background in using complex large scale data sets in the pharmaceutical sector. • Experience in the drug discovery and development process. • Strong problem-solving skills and ability to troubleshoot technical issues. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $168,000 - $294,800 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Company Name: PPD Development, L.P. Position Title: Sr. Programmer Analyst (Bioinformatics) Location: 929 North Front Street, Wilmington, NC 28401 Summary of Duties: Perform advanced bioinformatics programming activities for the statistical and computational considerations of research projects. Work independently in a lead programmer role on select moderately complex studies, or may serve as a study team member under the direction of a lead programmer on more complex studies. Provide training and guidance to junior team members. Act as the lead programmer on selected studies of moderate complexity, working directly with project team leaders and client representatives to assess and develop project goals and timelines. Assume leadership responsibility as a contributing member of a multi-disciplinary clinical trials project team, communicating actively and frequently with other team members as needed. Independently create, execute, maintain, and validate programs that transfer data across multiple data management systems or operating systems. Combine data from a variety of sources and structures. Generate and store summary data from a variety of sources. Generate reports or combine multiple databases and validate programs that generate listings, tables, and figures using SAS. Manage and document assignments to meet timelines and deliver high quality work, being familiar with any relevant contractual obligations or limits. Increases knowledge base and professional skills in areas including programming, technology and techniques, clinical trials, and the pharmaceutical industry. Provide training and guidance to junior team members. Provide general infrastructure support to the department, including representing the company at industry conferences, presenting/teaching at department meetings, assisting in establishing training materials, and contributing to other general department documents or policies such as the development of departmental working practice documents and SOPs. Provide support to the bidding process as requested. Duties may be performed remotely. Qualifications: Master’s degree in Computer Science, Statistics, Biostatistics, Mathematics, or related field and three (3) years of experience as a Programmer Analyst, Statistical Programmer, or related role. In the alternative, the employer will accept a Bachelor’s degree in Computer Science, Statistics, Biostatistics, Mathematics, or related field and five (5) years of experience as a Programmer Analyst, Statistical Programmer, or related role. Must have three (3) years of experience with: SAS Programming; Windows office applications; SAS Macro; Clinical research and trials; Validation and quality control checks of biostatistical outputs; Programming SDTM and ADaM datasets; Programming clinical research reports in the form of listings and tables; and Clinical trial regulatory standards. Must have one (1) year of experience with: Project management. #LI-DNI

The Department of Neurological Surgery at Northwestern University Feinberg School of Medicine seeks a full-time tenure track Investigator at the rank of Assistant Professor or higher interested in the interface of bioinformatics, machine learning, and the medical sciences. As the acquisition of biomedical data has become increasingly scalable, the challenge has shifted from obtaining data to identifying relevant data and analyzing and interpreting it relative to the existing corpus of research. Often data is collected across multiple modalities including various imaging and ‘omics platforms, each with its own associated databases. Our goal is to develop tools that leverage the multilayered nature of the data to establish relationships between modalities and direct experiments using machine learning. Qualified candidates will have a Ph. D. in Biophysics/Physics, Applied Mathematics, Computer Science, Statistics, Quantitative/Computational Biology, or related field. Strong background in statistics, experience implementing machine learning algorithms, and demonstrated ability to extract datasets from publicly available sources. Experience building analysis pipelines for ‘omics data. Fluency with R/Python is a plus. The start date is negotiable and the position will remain open until filled. Northwestern University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including years since terminal degree, training, and field or discipline; departmental budget availability; internal comparators; and external market pay for comparable jobs. Benefits At Northwestern, we are proud to provide meaningful and competitive benefits. Visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more. When applying, please upload a CV and cover letter describing your interest and alignment with the position. Also upload this completed list of references form to suggest the names of individuals who could write letters of reference on your behalf. Applications accepted here: https://facultyrecruiting.northwestern.edu/apply/MTUwNQ== Northwestern strongly recommends COVID-19 vaccinations and boosters for people who can obtain them as a critical tool for minimizing severe illness. More information can be found on the COVID-19 and Campus Updates webpage. Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern’s non-discrimination statement. Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process. Please read ALL instructions and make preparations before proceeding to the application page: • Applications will only be accepted via online submission (see link below). • Please prepare all documents in advance as Adobe PDF files, and please be sure all information is entered correctly and accurately (especially names and email addresses), as there will be no opportunity for online revision after your application has been submitted. • All required fields in the application form are marked with an asterisk and must be filled before clicking the “Submit” button. • Be aware that incomplete applications cannot be saved.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Microbiology & Immunology has an exciting opportunity for a full time Research Associate 3, SOM position. The incumbent assumes responsibility for the design and performance of research focused on the development of novel experimental therapies for human malignancies. The incumbent contributes to collaborations with scientists within the University of Miami or elsewhere. Moreover, this individual works as part of a team and assists with the maintenance of laboratory equipment, protocols, and supplies. CORE JOB FUNCTIONS • Maintains daily operations and performs procedures related to new and on-going research projects. • Assists with ordering, purchasing, and maintenance of all required reagents and supplies for laboratory activities, and monitors and maintains inventory of supplies and stocks. • Assists with the maintenance of institutional biosafety and animal care protocols, laboratory safety records, and standard operating procedures. • Performs and assists other research staff with standard laboratory techniques. • Develops, adapts, and implements new laboratory procedures. • Records, organizes, and writes up experimental results for submission of manuscripts and for scientific presentations. • Keeps abreast of latest literature in the field and searches for references to technical problems. • Maintains current knowledge of the methods and techniques related to the specific field of research. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS • Bachelor’s Degree in relevant field • Minimum 5 years of relevant experience DEPARTMENT ADDENDUM Department Specific Functions • Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. • Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics • Create novel computational approaches and analytical tools as required by research goals • Work with lab team to analyze problems, recommend technology-based solutions, or determine computational strategies. • Create or modify web-based bioinformatics tools and train personnel in technical or scientific procedures. • Prepare scientific or technical reports or presentations #LI-GD1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A7

Description We are seeking a junior bioinformatician for the Tisch Cancer Institute Bioinformatics for Next Generation Sequencing (BiNGS) shared resource facility, to lead genomics, transcriptomics and epigenetics data analysis projects related to Cancer and Developmental biology. The mission of BiNGS is to enhance scholarship and facilitate NGS data analysis in the ISMMS community by providing access to state-of-the-art tools and training. The BiNGS staff support a broad range of biostatistics and bioinformatics analyses for multiple applications spanning bulk ATAC-, RNA-, and ChIP-seq, CUT&RUN and HiC, single cell ATAC- and RNA-seq, single cell Multiome and Spatial Transcriptomics, WGS and WES. BiNGS further provides services for data management, bioinformatics tools development, access to biocomputing resources, web-based app development, and advanced computational training in data analysis. We are focused on delivering a comprehensive, rapid and user-friendly service. More specifically, we are working on multiple projects together with PIs in the Tisch Cancer institute and the broader Mount Sinai community to analyze NGS related datasets. For example, we are working to understand the role of the histone variant MacroH2A in the regulation of chromatin organization in melanoma utilizing micro-C analysis, enhancers analysis, transcriptomic analysis, open chromatin analysis and transcription factor network analysis; in another project, we are working to develop a computational classifier for risk assessments from cancer patients’ biopsies, utilizing WES and ultra-low pass WGS and ML tools. We are seeking a highly motivated junior Bioinformatic Scientist who wants the opportunity to significantly impact the growth and success of our research programs, the bioinformatics core and the services we provide. The candidate will work closely with TCI investigators to facilitate and enhance the processing of their projects. Commitment to accuracy, high attention-to-details, and ability to work independently are critical competencies for the role. The ability to lead projects is a must. We feel that BiNGS presents a unique opportunity for junior bioinformaticians who seek to work with like-minded professionals to expand their data analysis skills; their understanding of transcriptional and epigenetic programs and their role in driving cancer initiation, progression and metastasis, and other diseases; their ability to communicate science clearly and efficiently. Responsibilities • Execute computational analysis for bulk RNA- and ATAC-seq, ChIP-seq, and HiC using existing analysis pipelines. • Integrate data across different datatypes and from publicly available resources (e.g., ENCODE and TCGA), with experimental data generated by PIs. for example; correlation with gene expression signatures, and Histone PTM enrichment analysis. The ideal candidate will be able to navigate the available datasets and extract meaningful data based on the system he/she works on. • Provide analyses and visualization for presentations and publications. • Participate in the implementation of new software tools to process, analyze and visualize high-throughput multidimensional sequencing data. The candidate will be required to identify the main requirements, identify available tools, implement and test. • Manage the core online database and interactive tools on local HPC and commercially available clouds preferably Amazon Web Services. • Tracking and reporting of ongoing projects. • Provide training to TCI investigators and trainees. Qualifications • B.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline; MSc in Bioinformatics or Computational biology with a focus on genomics or related discipline preferred. • 3 years experience required • Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++. • Experience in analyzing and integrating bulk RNA- and ATAC-seq, ChIP-seq, and HiC datatypes. • Knowledge of cancer biology, chromatin biology, and technologies such as next-generation sequencing. • Proven experience with Perl, R and Unix. Additional experience with standard genomics tools for high-throughput sequencing data analysis is preferred (e.g., Bowtie2, deepTools, Samtools, and the UCSC genome browser). • Experience in batch HPC cluster environment with a parallel file system. • Ability to research, analyze, recommend, communicate and implement data analysis solutions. • Must be able to work as an individual while part of a small team. Employer Description Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65000 - $87610 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Job Description The Precision Genetics group within the Data AI and Genome Sciences Department is seeking a Senior Scientist to join our Statistical Genetics team in Cambridge, MA. We are looking for a skilled statistical geneticist with experience in whole genome sequence analysis, large scale biobank data and post-GWAS analysis to identify novel therapeutic targets and support existing targets Key Responsibilities: • Statistical Genetic Analysis: Deploy statistical genetics analysis approaches on large-scale individual level genetic data (sequence and microarray) from biobanks to identify and support therapeutic targets and identify novel patient subpopulations. • Phenotype Curation: Curate electronic health records (EHRs) to create novel phenotypes for analysis • Data Collection: Proactively identify relevant genetic datasets from public, internal, and proprietary sources through collaborative efforts • Collaborative Research: Partner closely with AI/ML scientists and disease area biologists to develop tailored analytical strategies for complex diseases across various therapeutic areas. • Strategic Partnership: Serve as a strategic collaborator with discovery teams to influence the drug discovery portfolio. • Hands-On Analysis: Implement rigorous data analysis practices and remain informed about cutting-edge statistical genetics approaches, particularly the implementation of AI/ML or omics integration. • Post-GWAS analysis: Perform post-GWAS analysis to generate target hypothesis and support • Omics Integration: Integrate genetic analysis with transcriptomics and proteomics data, including colocalization and QTL approaches • Emerging Methods: Stay at the forefront of novel methodologies in statistical genetics. • Project Management: Manage complex projects, proactively identifying challenges and forecasting timelines for key deliverables to meet pipeline objectives. • Validation Collaboration: Work with wet-lab biologists and disease area experts to validate targets and identify patient sub-populations. • Effective Communication: Present findings to project teams, internal stakeholders, and the broader scientific community through internal documentation, presentations, and publications in leading journals. Required Qualifications: • Ph.D. in Statistical Genetics, Human Genetics or a related field, with a minimum of 2 years of post-PhD research experience. • Proven track record of over 2 years of applying statistical genetics approaches to large-scale population genetics resources for target discovery. • Fundamental knowledge of statistical and population genetics principles. • Strong conceptual understanding of statistical genetics analytic methods, including Mendelian randomization and fine-mapping/colocalization • Strong conceptual understanding of common statistical techniques, including regression, dimensionality reduction, network analysis, and data harmonization. • Proficiency in coding using R and Python, with the ability to establish best practices for reproducible data analyses. • Expertise in using common statistical genetics software, including PLINK, GATK, and REGENIE • Hands-on experience working with biobank data, including biobank trusted research environments (TREs) • Experience working with AWS or other cloud-based computational clusters • Excellent written and verbal communication skills. Preferred Qualifications: • Experience in fields such as Neuroscience, Cardiovascular and Metabolic diseases, Immunology, or other complex diseases. • Familiarity with integrating transcriptomics and proteomics data with genomics data • Experience analyzing longitudinal data • Conceptual understanding of AI/ML approaches, including foundation modeling #EligibleforERP As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: Domestic VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Not Applicable Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 05/4/2025 • A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R347481

Postdoctoral Associate in Biostatistics and Bioinformatics Position Description: This postdoctoral fellow position is funded by multiple NIH projects, e.g., https://tinyurl.com/yy8xwtoq, https://tinyurl.com/bhkr2mm5, https://tinyurl.com/2f99j7df, and https://tinyurl.com/ysxhmujv The overall goal is to: (1) develop inference and dynamic prediction models using a wide variety of data, including clinical, wearable devices, neuroimaging, and –omics data from electronic health record, registry, and research initiatives; and (2) develop and apply novel statistical models to investigate gene by environment interactions and to utilize bioinformatics resources and high-dimensional –omics data to elucidate the biological significance of the statistical analysis. The postdoctoral fellow, under the mentorship of Dr. Sheng Luo (https://scholars.duke.edu/person/sheng.luo), is required to work on at least one of these objectives. The application areas include neurological diseases, aging research, cancers, and radiology. The work will involve both methodological research with biostatistics faculty and collaboration with biomedical investigators. Requirements and Expectations: A Ph.D. in statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysis, tensor regression, high-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programming, collaboration, and communication skills. Compensation and Benefits: We offer a very competitive salary and excellent benefits. Visit the Duke University Office of Postdoctoral Service website at http://www.postdoc.duke.edu and Duke HR website at www.hr.duke.edu for details. Start Date: Negotiable Application: Please include CV, contact information for 2-3 references, and a cover letter addressing the research interests. An optional Research Statement (one page or longer) is encouraged.

• *Candidates must be authorized to work in the U.S. without the need for current or future visa sponsorship. At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a highly motivated Bioinformatics Intern to join our team. This internship is ideal for graduate students (Master’s or Ph.D.) passionate about applying computational methods to solve complex biological and healthcare challenges. You will have the opportunity to contribute to projects involving genomics and single cell multiomics data, leveraging advanced analytics and machine learning to drive meaningful scientific insights. Our Bioinformatics team plays a crucial role in integrating computational biology, large-scale data analysis, and machine learning to drive discoveries in precision medicine, genomics, and drug development. POTENTIAL ACTIVITES • Analyze large-scale single cell multiomics datasets (CITE-seq) to generate insights into disease mechanisms. • Work on machine learning and statistical approaches to support biomarker discovery and precision medicine initiatives. • Develop and optimize bioinformatics workflows and pipelines for high-throughput data processing, quality control, and analysis. • Develop novel visualizations to support interactive exploration of high dimensional single cell multiomics datasets. • Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects. • Present findings through technical reports, visualizations, and presentations to cross-functional teams. MUST HAVES • Master’s or Ph.D. candidate in Bioinformatics, Computational Biology, Genomics, Data Science, or a related field. • Experience using R or Python programming languages for computational biology research. • Experience analyzing high throughput sequencing data and single cell RNA-seq data. • Familiarity with processing and analyzing data within a cloud or HPC computing environment. • Basic understanding of cancer biology, genomics, or related relevant biological fields. • Demonstrated ability to conduct reproducible computational biology research, as evidenced by Github repositories and/or scientific publications. • Strong problem-solving skills and ability to communicate complex insights effectively. Duration: 8 – 10 Weeks (40 hours per week) Location: Remote or Hybrid. Candidate will be expected to travel to our headquarters (Aurora, CO) at least once during the internship. WHY YOU’LL LOVE REFINED SCIENCE Team + Values At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage. Our Values • Act with Purpose – We believe in rigor through deliberate and thoughtful actions • Be Curious – Curiosity is the spark that ignites innovation and growth • Take Ownership – True ownership leads to pride and commitment in the work we do • Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success • Embrace Agility – We celebrate agile thinking, resilience, and adaptability Compensation • $34-$38 per hour

Division/Program Summary Description: The Division of Disease Control’s mission is to safeguard the health of New Yorkers through identification, surveillance, treatment, control, and prevention of infectious diseases, which is achieved through varied and interrelated endeavors of its seven Bureaus. The NYC Public Health Laboratory (PHL) is one of the largest local public health laboratories in the United States where employees contribute to the health and safety of NYC residents by providing clinical and environmental laboratory testing services. PHL is committed to its mission to safeguard the health of all NYC residents by providing quality laboratory testing services that support the priorities of DOHMH and its community partners to prevent and respond to clinical and environmental public health concerns. The Public Health Laboratory (PHL) seeks a qualified candidate to serve as a Bioinformatics Scientist. This position will work primarily in PHL’s Bioinformatics Unit. This position will develop and maintain analysis pipelines as well as perform bioinformatics analyses for high throughput sequencing (HTS) data. It will play an integral role in genomics analysis aimed at responding to public health threats, including but not limited to COVID-19, vaccine preventable diseases, HIV, Legionella as well as respiratory, foodborne, and waterborne disease outbreaks. This is an excellent opportunity to join our multidisciplinary team, and collaborate with local, state, federal, and academic partners. Job Duties and Responsibilities: Conducting bioinformatics analyses for sequencing data that support public health efforts Developing or improving tools related to pathogen identification, outbreak tracking, mapping drug resistance determinants, variant analysis, genome annotation and phylogenetics, genomics data visualization Strengthening the application of genomic tools to support public health diagnostic testing for pathogens from clinical and environmental samples (e.g., wastewater). Conducting literature reviews and stay up to date with cutting edge scientific and epidemiological research and tools. Mentoring and cross-training staff or research fellows at PHL Collaborating with other team members and partners on genomics data management (e.g., SQL databases, public repository uploads, other datasets). Participating in agency wide WGS journal club and genomic data exchange working groups. Developing tools (e.g., dashboards) or strategies (e.g., Docker-based pipelines) to improve accessibility of bioinformatics analyses to non-bioinformaticians (e.g., epidemiologists, virologists, microbiologists). Representing the agency in meetings and conferences. Drafting written protocols and maintain accurate records of software tools design. Writing original manuscripts for publication based on data analyses and product development. Maintaining quality assurance and control of HTS data generated by PHL to ensure reproducibility and accuracy of downstream bioinformatics analyses. This includes writing and designing SOPs and validation/verification protocols. Using best practices for code development, and documentation. Leading and participating in presentations and workshops with Quality Management (QM) at PHL to improve understanding and tracking of sequencing data and analyses quality control measures, data security and data management using resources from APHL, ASM, and others. Preferred Skills: Strong skills in Linux command line and BASH shell scripting. Proficient in R, Python, C, Java, or other programming languages. Experience in SQL. Experience in utilizing multi-core server resources, automating processes, containerization, and workflow languages. Experience with common tools for Next Generation Sequencing Analysis (NGSA), including reference-based analysis and de novo sequencing analysis (knowledge of open source and commercial microbial NGS analysis pipelines) and genome annotation. Demonstrated work in public health genomics research. An MS or PhD degree in the biological sciences, evolutionary biology, genomics, or related fields. Strong analytical and organizational skills; Excellent oral, inter-personal and written communication skills Why you should work for us: - Loan Forgiveness: As a prospective employee of the City of New York, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education’s website (https://studentaid.gov/pslf/) - Benefits: City employees are entitled to unmatched benefits such as: o a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment. o additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund. o a public sector defined benefit pension plan with steady monthly payments in retirement. o a tax-deferred savings program and o a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers. - Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home. - Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! Commitment to Equity: The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 Minimum Qualifications 1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.