Bioinformatics Jobs

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

The EPA National Student Services Contract has an immediate opening for a full-time Bioinformatic Assistant with the Office of Research and Development at the EPA facility in Raleigh, NC. The Office of Research and Development at the EPA supports high-quality research to improve the scientific basis for decisions on national environmental issues and help EPA achieve its environmental goals. Research is conducted in a broad range of environmental areas by scientists in EPA laboratories and at universities across the country. What the EPA project is about ORD bioinformatic research serves to provide, among other functions, a bioanalytical and computational infrastructure to facilitate research on a variety of research topics. Current scientific projects range from (1) large genomic and transcriptomic dataset integration and analysis; (2) database and front-end development efforts; (3) nanoinformatics and nano-curation efforts (4) QA/QC practices for data transfer, code sharing and backup; (4) semantic mapping of biological information to address Agency questions. ORD bioinformatic research seeks to develop an integrated framework across health end points through the identification of toxicological pathways. This approach is accomplished by the use of computational and molecular approaches to characterize "key events" for biologically based models, the association of molecular key events with chemical, disease and, pathway, and the application of genetic and epigenetic approaches for understanding differential susceptibility. What experience and skills will you gain? Investigators across the Agency are involved in diverse areas of research, including systems biology, a variety of ‘omics’ disciplines, as well as database development and data curation. You will have the opportunity to be a member of a multi-disciplinary research team and work with computational biologists, EMVL contractors, and other members of ORD’s software development and informatics teams to support research efforts. In addition to scientific projects, you will be conducting work with the National Computing Center (NCC) Linux/Unix Staff to support the efficient and reliable operation of the organization’s computational cluster, platforms, storage and the associated operations and support tools. Required Knowledge, Skills, Work Experience, and Education • Experience programming in at least one modern general-purpose programming language such as Perl, Python, C++, R, or Java; • Experience programing in SQL or related structured query languages; • Experience with semantic web, ontology mapping, and structured query languages, such as RDF and sparql; • Experience in computational manipulation and analysis of diverse datatypes, such as genomic, proteomic, transcriptomic ; • Coursework or equivalent work experience with, and front-end development; • Strong written, oral and electronic communication skills; • Proficiency with Microsoft Office applications (i.e., Excel, PowerPoint, Word, Outlook); • Experience with Unix or Linux operating system; and • Experience with cloud computing services. How you will apply your skills Application and Programming responsibilities • Working knowledge of emerging computational and semantic technologies and best practices; • Maintaining existing code and scripts that may or may not access databases; • Developing code or modifying existing code for quality assurance in data transfer and analysis diverse data types; • Updating analysis software and standard procedures for server and database access, ticketing systems for software development tasks; • Creating and maintaining web components using the Node.JS web framework; • Participating in Agile (Scrum) software development; and • Participating in team code reviews, maintaining records of meetings, correspondence, and action documents, and maintain a system to track projects in progress. Communications-related responsibilities • Participating as a member of a multi-disciplinary research team; • Interacting with other members of the Bioinformatics team as well as NCC and other EPA scientists; • Translating complex computational concepts in ways that can be understood by those with varying levels of relevant technical knowledge; • Assisting with IT project execution; and • Presenting work performed in the course of their EPA student contractor service as a poster or presentation at a scientific conference or other forum. Location: This job will be located at EPA’s facility in Raleigh, NC. Hours: Full time. Salary: Hourly wage for hours worked at a rate of $21.59 per hour. Employer: Selected applicant will become a temporary employee of ORAU working as a contractor at EPA. Travel: Occasional overnight travel may be required. Working Conditions: The selected candidate will be supervised by a mentor who will provide day-to-day direction, as well as coach, advise and counsel the candidate, and review the candidate’s work. This position will involve work in an administrative setting and is not expected to involve exposure to hazardous elements. Expected Start Date: The position is full-time and expected to begin in March 2020. The initial project is through May 14, 2020 with potential optional periods. For more information, contact EPAjobs@orau.org. Do not contact EPA directly.

At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. You will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. Bioinformatics, US Operations – the role As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Operations group, part of the Research and Development organization, in Advanced Diagnostics based in Marlborough, MA. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Operations group supports, hones, and executes the processes defined by our Engineering and Lab Operations groups with emphasis on compliance and continuous improvement. While coupled tightly to regulation through standards in validation, documentation, and data retention, the group is an integral part of the development cycle of our analysis workflows and visualization. This position is 100% remote and the professional must be located in the US. • Execute and improve sequence analysis workflows and automation • Track, troubleshoot and mitigate issues encountered in processing production samples • Assist in planning and development of solutions to recurring issues to be merged back into development branch maintained by the Engineering group • Develop web-based results display and dashboards for clinical geneticists, medical directors and operations lab personnel providing clarity in our process • Generate, wrangle, merge and glean information from varied and complex data sets Design and implementation of RESTful APIs linked to various systems including LIMS, AWS job runners and other systems necessary for data processing and execution • Design and perform validation, testing, and production deployment of systems and software to standardize processes across all Quest Diagnostics genetic testing labs • Design and perform validation analysis for new genomic testing products. • Support production day-to-day operations • Write and maintain production documentation for compliance and supportability of all bioinformatics processes in production environment • Work directly with medical/quality/compliance to identify, track, resolve and report on any relevant quality-related issues • Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing • Perform LIS support duties (maintain database for user, tests, clients….) • Support interface, integration, and testing projects • Utilize a Software Development Life Cycle documentation procedure • Be an active team player and support the group • Accept input on solutions from other colleagues and teams • * 5 years experience using formal programming and scripting languages • 5 years experience working on a Linux command-line to process, parse, and merge varied data sets • 2 years experience working with web services and implementing API communications (REST, SOAP, etc.) • 3 years experience in a distributed HPC environment (cluster, cloud) • Knowledge and understanding of genomics, next-generation sequencing, and bioinformatics • Experience developing and testing software • Experience with source control in a development, testing, and production environment • Automated testing experience; CI/CD experience preferred • Knowledge of CAP documentation requirements a plus • Experience communicating technical results and data is desirable Current tech stack experience is a plus Examples: • Programming Languages: Python, PERL, Groovy, javascript, terraform • Web Frameworks: Python Flask, React Native, Bootstrap • Environments: R Statistical Language, iPython, Jupyter • Visualization: Plotly, matplot lib, ggplot2/tidyverse, Tableau, d3.js • Database: SQL (e.g., postgress, MySQL), MongoDB • Cloud Computing: AWS • Infrastructure management: terraform • Pipeline Workflow Manager: Nextflow • Source Control: Git • CI/CD: Gitlab, AWS CDK • Containerizing: Docker • Microsoft UI: Access, VBA, Macros Education: Bachelor’s Degree - Required Master’s Degree or PhD - Preferred Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

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.

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.

Sciome consults with leading researchers in the field and provides bioinformatics support for experiments generating ‘omics data from a variety of health and environmental projects. Sciome has an opportunity for a bioinformatics scientist to conduct analyses in support of a variety of genomics studies that investigate the role of genetic and environmental factors on biological systems. The candidate will have a unique chance to work with leading scientists having wide ranging perspectives on scientific issues and to progress his/her career in a growing organization. The successful candidate will participate in the analysis of large, high-throughput ‘omics datasets such as those generated by next generation sequencing and microarray platforms via the application of bioinformatics and statistical methods. Projects may also include analyses of toxicological, environmental and other biological data types in addition to genomics data. Typical projects investigate changes in chromatin marks (ChIP-Seq, ChIP-Chip), gene expression [mRNA-Seq, Microarray], and the influence of genetic variations (SNPs, genetic rearrangements, etc.) in response to environmental stressors. Data analysis will be carried out using off the shelf bioinformatics analyses techniques as well as in house methodologies. Data management, analysis, interpretation, and documentation leading up to publications will be necessary for successful progression of projects. Education Masters or PhD degree in Bioinformatics / Computational Biology / Computer Science / Statistics or closely related field. Key Responsibilities • Bioinformatics analysis of genomics data arising from next generation sequencing and microarray platforms. Specific data types include Exome-seq, ChIP-seq, ChIP-on-Chip, mRNA-seq, DNA-Seq and microarray gene expression or genotype data. • Perform statistical analysis of genomic datasets and participate in methods development while working with Sciome team members. Utilize appropriate off-the-shelf tools or in-house methods and keep up with the literature on rapidly evolving next generation sequence data analysis tool sets. • Contribute towards the management of large biological datasets and maintaining data analysis workflows as necessary for analysis of sequencing and microarray data. • Participate in drafting data analysis plans per project needs, perform bioinformatics analysis of the data, interpret results and communicate the results with clients and researchers. • Document analysis workflows and methods for further report generation and/or scientific publication in peer reviewed journals. Desired Skillset Experience with analysis of Exome-seq, DNA-Seq, ChIP-seq, ChIP-Chip, mRNA-seq and microarray datasets. • Understanding of the wide range of bioinformatics tools and methods for analysis of data originating from next generation sequencing and microarray platforms. • Experience with applying appropriate statistical and/or bioinformatics analyses to large molecular biological datasets. • Familiarity with statistical data analysis methods such as generalized linear and additive models, mixed effects models and other multivariate methods, Bayesian methods, power and sample size calculation, machine learning methods for genomics as well as computational biology methodologies for microarray, SNP, and next generation sequence data analysis. • Experience with the use of statistical packages in R and experience in scripting languages such as Perl, Python or Matlab. • Software coding experience in multiple languages is preferred. • Strong communication and writing skills in English are essential. • The ideal candidate will have a proven track record of scientific publication in the fields of bioinformatics, genomics and/or the life sciences. • Must be eligible to work in the U.S. How to Apply • Send your detailed CV via email to jobs@sciome.com. • Refer to position title Bioinformatics Scientist. • Provide your accurate contact information.

Job description: We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of genetics data. Roles & Responsibilities: • Master's degree with 2+ years experience or PhD in quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). • Experience with genome-wide association studies, particularly fine mapping and QTL colocalization from GWAS summary data is a plus. • Familiarity with methods to prioritize genes per GWAS locus given multiple lines of evidence is a plus. • Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. • Demonstrated experience in the analysis and integration of NGS data. • Familiarity with the construction and execution of bioinformatics workflows. • Strong proficiency in R and/or Python programming for bioinformatics workflows. • Knowledge and proficiency in basic statistical concepts. • Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment. • Experience with code reproducibility, e.g. managing github repositories. • Prior research experience in studying immunological diseases areas is a plus. • Experience with Nextflow is a plus. Skills: • Experience with genome-wide association studies, particularly fine mapping and colocalization from GWAS summary data is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. • bility to critically evaluate experimental design, QC and suggest improvements. • Strong proficiency in R and/or Python programming for bioinformatics workflows • Experience working in HPC and cloud environment.

Join a Legacy of Innovation 125 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. Job Summary: This role is part of Daiichi Sankyo Translational Science Oncology department and will participate in research towards utilizing digital and computational pathology approaches and related biomarker data for understanding drug mechanism of action, patient selection and patient enrichment strategies for programs across the clinical portfolio. The successful candidate for this position will provide technical and scientific leadership in conducting histopathology and digital & computational pathology-based biomarker data analysis in support of translational science goals for oncology programs. The primary datasets will be derived mostly from analysis of Daiichi Sankyo sponsored clinical trials as well as pre-clinical data and may require bringing in additional sources of information. S/he will contribute to the translational and precision medicine strategies by influencing methodologies, technologies and analysis utilized in translational research and deliver insights that will influence and drive clinical development decision-making. Besides global Bioinformatics teams, this role will require collaborating across functions and geographies with Translational Science Strategy leads, Clinical Pathology, Clinical Biomarkers and Biostats. Additionally, S/he will identify and interact with key external experts and collaborators and monitor progress toward goals of research programs. Responsibilities • Collaborate with translational scientists to develop translational study and analysis plans supporting biomarker research and development across our pipeline with focus on digital and computational pathology approaches, • Plan and deliver bioinformatics and correlative analyses to project teams in support of the translational science and digital and computational pathology goals., • Collaborate with the cross-functional stakeholders to shape our ecosystem both by improvements in data and analysis platforms as well as processes for data and analyses delivery. • Evaluate data resources and analysis methodologies, initiate or participate in collaborations to enhance bioinformatics and translational research capabilities globally at DS relating to digital and computational pathology. Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation. Education • PhD, MD or master’s degree in STEM or related areas required Experience: • 7 or more years with PhD or MD, 12 years with master’s degree required. • Experience in bioinformatics / computational biology required • Experience in oncology drug development at a biopharmaceutical company in Translational Sciences or Medicine preferred Competencies: • Expertise in correlative and integrative analyses using data from digital and computational pathology (IHC, H&E) and clinical outcomes data for informing patient selection and patient stratification approaches. Expertise in datasets and methods in areas such as spatial profiling, and digital and computational pathology. Knowledge of various bioinformatics and statistical methodologies utilized in biomarker research. • Experience in correlative analysis using data from genomics platforms (e.g. Gene panels, WGS/WES sequencing, RNA sequencing etc.) as well as other clinical biomarkers (e.g. IHC, Cytokine profiling, Flow cytometry etc.) and clinical outcomes data. • Hands on programming skills using R, Python or other commonly used scripting and programming languages in bioinformatics and developing dashboards to share results. Knowhow of clinical data formats and commonly utilized biomarker data formats for digital and computational pathology. • Excellent working knowledge of cancer biology, cancer genomics/genetics and related data resources and application of various omics and digital pathology technologies to understand disease and disease heterogeneity and its application in enabling translational research. • Excellent collaborative and communication skills in cross-functional setting Travel: 0-10% Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

POSITION RESPONSIBILITIES We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. This role is critical to supporting our ongoing molecular epidemiology and microbiome research, with a strong emphasis on human papillomavirus (HPV)-related neoplasia and the human microbiome (gut, oral, and cervicovaginal). The successful candidate will contribute to projects that have been published in high-impact journals such as Nature Communications and CELL. The ideal candidate will have a strong background in bioinformatics, epidemiology, computational biology, or a related discipline and possess demonstrated experience processing next-generation sequencing (NGS) data. This position provides an opportunity to work at the intersection of genomics, microbiome research, and epidemiology, with direct implications for cancer prevention and infectious disease research. Key Responsibilities: • NGS Data Analysis: Process and analyze high-throughput sequencing data (e.g., amplicon sequencing, bisulfite sequencing, metagenomics, viral integration) and develop bioinformatics pipelines. • Epidemiological Data Integration: Apply bioinformatics methodologies to study host-pathogen interactions, microbial communities, and genomic variations in large-scale epidemiological cohorts. • Phylogenetics & Evolutionary Analysis: Perform phylogenetic tree construction and genomic epidemiology studies for HPV and other microbiome-related investigations. • Data Management & Security: Organize, manage, and curate sequencing datasets, ensuring compliance with clinical data protection and security best practices. • Computational & Statistical Analysis: Utilize R, Python, or other computational tools to perform statistical analyses, epidemiological modeling, and data visualization. • Cross-Disciplinary Collaboration: Work closely with molecular biologists, epidemiologists, and computational scientists to integrate findings into broader translational research efforts. • Reporting & Presentation: Present findings in lab meetings, scientific conferences, and high-impact publications. • Grant & Manuscript Preparation: Contribute to research proposals and manuscript writing to support ongoing and new projects. QUALIFICATIONS • Education: Bachelor’s degree required; Master’s or Ph.D. in bioinformatics, computational biology, epidemiology, or related fields preferred. • Technical Skills: • Proficiency in R, Python, or similar languages for data analysis. • Experience with NGS data processing, microbiome bioinformatics (16S, ITS1, shotgun metagenomics), and HPV genomics. • Familiarity with machine learning/statistical modeling techniques in epidemiology is a plus. • Problem-Solving & Innovation: Strong analytical and critical thinking skills with a proactive approach to problem-solving in bioinformatics and epidemiology. • Communication & Collaboration: Ability to work in a highly interdisciplinary team and clearly communicate complex findings. Why Join Us? • Work on cutting-edge molecular epidemiology and microbiome research with direct public health impact. • Collaborate with leading experts in bioinformatics, genomics, and epidemiology. • Be part of projects published in top-tier journals such as Nature Communications and CELL. • Career development opportunities, including conference participation, grant writing experience, and authorship on high-impact publications. If you are a bioinformatics scientist eager to apply computational approaches to epidemiological and microbiome research, we encourage you to apply! Minimum Salary Range USD $58,500.00/Yr. Maximum Salary Range USD $65,000.00/Yr.

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; and their involvement in reducing racial bias in science through mentorship of URM in Science. Responsibilities • Implement bioinformatics pipelines and perform analysis for WES and WGS datasets. • Utilize existing pipelines for the analysis of bulk RNA-seq. • Integrate data across different datatypes and from publicly available resources (e.g., PCAWG, TCGA, ICGC and GTEx), 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; M.S. 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++. 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.