Bioinformatics Jobs

Look for more than answers. 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 Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. 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 Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This person can work 100% remote and must be located in the US. • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. • Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners. 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Preferred Work Experience / Skills: • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools • Experience with sequencing data analysis, bioinformatics, variant data analysis • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc. • Database: SQL (e.g., postgress, MySQL), understanding of NoSQL databases • Cloud Computing: AWS • Infrastructure management: Terraform, AWS CDK • Programming Languages: Advanced level with interpreted/scripting languages such as Python, javascript/typescript, R, etc. • Containerizing: Docker • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) • Web Frameworks: Python Flask, React Native, Bootstrap • Reporting: Familiarity with R Markdown, Jupyter Notebook • Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js • Source Control: Git • CI/CD: Gitlab CI/CD, Github CI/CD • Understanding of environment management • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

Organization Overview Our Vertebrate Genome Laboratory conducts research and services for individual and large vertebrate genome projects such as the Vertebrate Genomes Project (VGP/G10K) that aims to sequence high-quality genomes for all 66,000 vertebrate species on the planet. https://vertebrategenomesproject.org/. Overview We seek a highly motivated individual with a strong background in Computer Science and Genomics to join the Bioinformatics team of the Vertebrate Genome Laboratory (www.vertebrategenomelab.org) at the Rockefeller University. This person will generate reference genomes of eukaryotic species as part of the Vertebrate Genomes Project (VGP, www.vertebrategenomesproject.org) and the Earth Biogenome Project (EBP, https://www.earthbiogenome.org/). In particular, the individual is expected to help achieve the following goals: • Work closely with the VGL data production and bioinformatics teams, and the broader international scientific community of the VGP, to actively generate draft high-quality genomes. • Help make the current pipeline, which is already heavily streamlined, fully automated, such that the sequencing data is automatically processed into draft assemblies along with QC, ready for manual curation. • Consistently improve the pipeline for genome assembly quality and efficiency, based on feedback from genome curators, incorporating novel data types, and adding or help in designing novel tools. Our current workflow involves: 1) in-house generation of a variety of long- (PacBio, Nanopore) and short- (Hi-C, Element, Illumina) read data; 2) in-house generation of reference-grade draft genome assemblies; 3) manual curation of the draft assemblies; 4) submission of the final, curated assemblies to the public archives. The individual will be integrated in step 2, and will be responsible to run, maintain, further develop, and improve the VGL genome assembly pipeline currently implemented in Galaxy (Lariviere et al. 2024 Nature Biotechnology DOI: 10.1038/s41587-023-02100-3). Responsibilities Responsibilities include: • Genome assembly • Genome assembly pipeline maintenance Qualifications The ideal candidate will have a sound knowledge of genomics, ideally with insights into genome assembly, genome curation and genome analysis. Required: • Master's degree required, Ph.D. preferred • Educational emphasis in computer science or computational biology • Strong programming skills, includin knowledge of computational data-analysis workflows (e.g. CWL) • Familiarity with Unix and HPC environments • The ability to work both independently and as part of a team Preferred: • Previous experience with Galaxy workflows is a plus • The ability to organize, prioritize and plan a diverse range of work to meet deadlines • An investigative and solution-orient mindset • Good communication skills • Skilled in working effectively within large national and international scientific consortia The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $62,400.00/Yr. Compensation Range: Max USD $80,000.00/Yr.

Exciting Opportunity at MSK: Are you a Software Engineer enthusiastic about helping solve problems in cancer biology, genomics, and their clinical applications? Join us as a Bioinformatics Software Engineer IV! In this role you will lead the software engineering team who is developing the FDA-recognized precision oncology database OncoKB. OncoKB is an integral component of the clinical genomics platform at MSK, codifying MSK’s immense expertise on genomic biomarkers and their clinical applications. OncoKB is currently being used to annotate all patient sequencing reports at MSK as well as thousands of patients in retrospective cohorts for cancer researchers worldwide. The OncoKB software suite has been developed in-house at MSK since 2013. It includes a curation interface that supports content curation, a public website (oncokb.org) that hosts more than 1000 daily user visits worldwide, as well as a database and API that support real-time annotation of genomic variants identified in cancer patients. To better support clinical decisions and cancer research, we are looking to expand features of all OncoKB components. The Center for Molecular Oncology’s (CMO) mission is to promote precision oncology through genomic analysis to guide the diagnosis and treatment of cancer patients. The CMO brings together clinicians and scientists throughout MSK to conduct large-scale translational research involving molecular characterization of patient tumor specimens to identify genomic features that drive clinical outcomes. Role Overview: • Execute and oversee the systems, programs, and computational aspects of OncoKB. This includes leading the development and implementation of new features, ensuring the platform's stability and scalability, and leading all aspects of data management and integration. • Lead and develop a team of software engineers, providing technical guidance, mentorship, and support. This involves fostering a collaborative and productive work environment, setting clear goals and expectations, and conducting performance reviews. • Collaborate with the OncoKB Lead Scientist and SCMT to translate scientific and clinical requirements into technical specifications. This includes participating in meetings, reviewing documentation, and providing input on the feasibility and implementation of new features. • Lead all aspects of the deployment of OncoKB to its various outputs, including the public website (www.oncokb.org), cBioPortal for Cancer Genomics, and MSK-IMPACT clinical reports. This involves working closely with IT and other collaborators to ensure seamless integration and data transfer. • Ensure the security and integrity of OncoKB data, implementing appropriate access controls, data backup and recovery procedures, and data validation protocols. • Stay abreast of emerging technologies and best practices in software engineering, evaluating and adopting new tools and methodologies to enhance the functionality and performance of the OncoKB platform. Key Qualifications: • Master’s degree with 5 years of experience or Bachelor's degree with 7 years of proven ability in computer science, bioinformatics, or a related field, or equivalent professional experience. • Strong leadership and management skills, with the ability to motivate and guide a team of engineers. • Demonstrated expertise in web application development, including proficiency in HTML5, CSS, Java, and Python. • Extensive experience with databases such as MySQL and MongoDB. • Strong understanding of cloud deployment principles and technologies. • Experience with software development in a team environment using Git/GitHub or other source code control systems. • Excellent communication and collaboration skills, with the ability to effectively interact with scientists, clinicians, and other stakeholders. Core Skills: • Experience with Google Firebase or similar platforms. • Knowledge of user interface design principles and best practices. • Prior experience working on open-source projects related to bioinformatics or cancer genomics. • Familiarity with the principles of precision oncology and cancer variant interpretation. Additional Information: • Schedule: 37.5 hours Monday - Friday, hybrid • Location: 323 E. 61st Street (Maclowe) • Reporting to: Attending Associate Pay Range: $131,800.00-$217,500.00 #LI-hybrid Helpful Links: • MSK Compensation Philosophy • Review Our Greats Benefits Offerings Please click to learn more about MSK’s compensation philosophy.

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 • 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 Diversity The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by: • Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential. • Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination. • Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers. At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization. We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally. Explore more about this opportunity and how you can help us write a new 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 43,000 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 approximately 7,400 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 and top 20 in Cardiology/Heart Surgery, 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. 14 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. The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.” EOE Minorities/Women/Disabled/Veterans Compensation The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $65000 - $83430 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

SHIFT: Day (United States of America) Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Genomic Diagnostic Laboratory (GDL) of the Children’s Hospital of Philadelphia is seeking a highly motivated Supervisory Bioinformatics Scientist to manage our Bioinformatics team consisting of Bioinformatics Scientists, Bioinformatics Engineers, and RIA Programmers. This is an exciting opportunity to join our laboratory where we use a wide variety of molecular and cytogenetic test methodologies to provide accurate, timely diagnostic testing that has a direct impact on patient care. The team also supports cutting edge R&D efforts including new clinical test development and clinical research. The Supervisory Bioinformatics Scientist is a key member of the leadership team in the GDL, collaborating with other lab leaders including the Director of Bioinformatics, clinical directors, managers, and supervisors). The successful candidate will have a strong human genetics, bioinformatics, and management background that will be applied to training, clinical work, R&D, and troubleshooting. Good documentation practices as well as strong organizational and communication skills are essential. Job responsibilities include scheduling work duties, providing semi-annual performance reviews, assuring that all accreditation requirements are in full compliance, and participating in quality improvement initiatives. We seek a leader who has an interest in strategic planning to develop and improve our bioinformatics pipelines and other tools to support our expanding test menu. This position can be worked fully on-site at our campus in Philadelphia, PA, or as a hybrid role with an expectation of on-site presence at least once a week, and additional on-site presence possible based on the needs of the lab. In addition to many of the subject matter expert responsibilities of the Principal Bioinformatics Scientist, the Supervisory Bioinformatics Scientist will also: • Build and supervise a team responsible for the architecture, development, testing and production rollout of integrated biomedical data resources and applications. • Balance competing priorities and resource allocation across a portfolio of matrixed projects and collaborations. • Promote common standards and best-practice use of multiple technologies to create innovative solutions that have a high impact on data-intensive clinical and translational research. • Serves as the data integration team lead on larger complex projects that include informatics, clinical and translational researchers. • Propose staffing plans for multi-year strategic data resource initiatives. • Train, mentor, and hold junior staff accountable to the results of modern technology development methodologies such as code test coverage, continuous integration, monitoring. • Educate staff, students, and trainees (fellows, post-docs) on appropriate staffing and expertise levels for application of data integration methods in the clinical and translational research environment. What you will do • A Supervisory Bioinformatics Scientist functions as both subject matter expert and team manager. The responsibilities echo those of a Principal Bioinformatics Scientist, but include direct supervision of team members and projects. A Supervisory Bioinformatics Scientist will: • Directly lead and mentor junior staff in a direct supervisory capacity. • Guide and develop the skills and expertise of junior staff • Build project budgets by estimating time and effort costs • Hold data integration and technical teams accountable to high-level project goals and timelines, mapping detailed project plans into these timelines. • Recruit, hire, and retain a focused team of any of Bioinformatics Scientists, Bioinformatics Engineers, and Bioinformatics Programmers. • Provide bioinformatics academic and thought leadership for joint collaborations with CHOP PIs. Education Qualifications • Master's Degree Required • Doctorate Bioinformatics, Computational Biology, Computer Science, Information Science, Informatics, Biomedical Engineering, Biological Science or a related discipline Preferred Experience Qualifications • At least seven (7) years Experience in bioinformatics analysis, bioinformatics database development, bioinformatics database administration, bioinformatics data management, or related discipline, with progressively more complex projects in a biomedical science or healthcare environment. Required • At least one (1) year Small team supervisory experience. Required Skills and Abilities • Experience in bioinformatics and statistical data analysis on highly dimensional data types such as derived from genomics and observational clinical or human subjects research data. • Expert knowledge of relational database management systems such as PostgreSQL, MySQL, Oracle required. • Expert knowledge of bioinformatics applications and algorithms. • Expert knowledge of one or more of the following required: Python/Django, R, Perl, Scala, Ruby or other scripting languages. • Expert biological domain knowledge. • Must exhibit excellent oral, presentation, and written communication skills. • Experience with source code management, application development, and project lifecycle management. • Project management experience of complex matrix projects required. • Proficiency in the areas of bioinformatics analysis, statistical modeling, data integration, and bioinformatics thought leadership in the larger biomedical community. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

Research Associate in Bioinformatics within ITMAT Location: Philadelphia, PA Open Date: Mar 11, 2024 Deadline: Mar 11, 2026 at 11:59 PM Eastern Time The Institute for Translational Medicine and Therapeutics at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for a Research Associate position in the Academic Support Staff. This appointment will be initially for one (1) year and continuation during that time period and renewal are based on satisfactory performance and availability of funding (limited to three (3) years). Expertise is required in the specific area of Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or closely related field. Applicants must have a Ph.D. degree. Responsibilities may include • Research in bioinformatics, which includes: - designing, architecting, developing, and testing software for managing and processing big data sets obtained from various biological experiments - investigating and benchmarking published bioinformatics software and tools - investigating high performance computing and cloud platforms for running bioinformatics software and tools - development of novel methods for statistical and/or machine learning analysis of omics data • Computational and statistical support for studies performed by ITMAT researchers, which includes: - management and processing of big data sets obtained by next generation high throughput sequencing - statistical and machine learning analysis of processed data - integration of heterogeneous (transcriptomics, epigenomics, proteomics, metabolomics, i.e., omics) data sets using statistical and machine learning techniques - development of methods for manipulation and visualization of omics data • Participation in various seminars, colloquia, and conferences • Occasional light teaching assignments. The successful applicant will have an opportunity to primarily carry out a research program under the direction of Dr. Gregory Grant. The position will also allow the candidate to grow as an independent scientist and gain eligibility to apply for funding through different mechanisms. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. Qualifications Application Instructions To apply, visit https://apply.interfolio.com/142410 The University of Pennsylvania values diversity and seeks talented students, faculty and staff from diverse backgrounds. The University of Pennsylvania is an equal opportunity and affirmative action employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status or any other legally protected class. Questions or concerns about this should be directed to the Executive Director of the Office of Affirmative Action and Equal Opportunity Programs, University of Pennsylvania, 421 Franklin Building, 3451 Walnut Street, Philadelphia, PA 19104-6205; or (215) 898-6993 (Voice) or (215) 898-7803 (TDD). jeid-7f37d4c556a0d04cbd4331448706b8a2

ORAU has a contingent job opportunity for a Bioinformatics Scientist in support of the overall functions of the Laboratory of Clinical Immunology and Microbiology (LCIM), Immune Deficiency Genetics Section, National Institutes for Health (NIH), located in Bethesda, MD. The positions are contingent on award of an upcoming contract with NIAID Professional, Scientific and Technical Support Services. Salary for positions will be determined based on education and experience. Relocation support is not available for this position. ORAU has been providing scientific and technical talent staffing solutions and designing, managing, and evaluating jobs and internships for more than 70 years. ORAU assists in connecting the best and most diverse group of students, recent graduates, faculty and professionals with world-class fellowships, internships and job opportunities, whether in national laboratories, research institutions, federal government offices or private sector R&D departments. Technical Requirements: • Perform and provide cutting edge bioinformatics approaches to study human and animal immune responses on both a single cell, cell population, and systems level using clinical and research materials from healthy subjects and patients with a variety of genetic or acquired immunodeficiencies. • Provide software and web applications for data analysis and visualization from inception to implementation to optimization. • Create custom workflows for automated data analysis using Python and other programming tools. • Perform data analysis using R, Python, JAVA, and SQL. • Provide data analysis of sequence and expression data from databases, laboratory sequencing initiatives, flow cytometry, and other sources. • Perform bioinformatics analysis including sequence processing, alignment, assembly, and annotation (such as with BWA, SAMTools, MUMmer, MetaSpades, HUMAnN2, etc). • Maintain detailed records of experiments and their results and prepare the information resulting from these experiments for presentations at laboratory-wide meetings and for publication. • Write reports of findings, stating methods and procedures, including any modifications employed, specimens and materials involved and results of experiments. Maintain laboratory records. Interpret, evaluate, and discuss the results of each experiment with the supervisor as part of the planning process for subsequent studies. • Operate and communicate effectively in a group, team-oriented working environment; Work with and support others in a collegial, open, respectful, and interactive working manner. Work collaboratively with others in the lab to generate data for publication(s). • Perform analysis and interpretation of data, prepare summaries of laboratory findings to be used in reports and papers to be presented at scientific meetings and/or publication in scientific journals. • Provide training of junior lab staff (postdocs, PhD students and postbacs) on software applications and approaches for bioinformatics.

About Ancestry: When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious. AncestryDNA is seeking a motivated and talented Data Scientist, Computational Genomics to join our Bioinformatics organization. You will be an individual contributor responsible for developing and implementing advanced machine learning models to analyze complex biological data. Your work will directly impact our understanding of genetic variation and its implications that will enrich our customers’ lives. What you’ll do: • Design, develop, and implement machine learning algorithms to analyze large-scale genomic datasets. • Collaborate with population geneticists, data scientists and engineers to identify and solve complex problems in computational biology. • Perform data manipulation, analysis, and modeling using Python. • Develop and deploy machine learning models using AWS SageMaker. • Design and implement ETL processes using AWS Glue. • Utilize AWS Athena for querying and analyzing data stored in Amazon S3. • Stream real-time data with AWS Kinesis Data Firehose. • Process and analyze large datasets using Amazon EMR. • Analyze and interpret biological data, focusing on DNA sequence data to uncover patterns and insights. • Stay current with the latest research and advancements in computational biology, machine learning, and genomics. • Communicate findings through reports, presentations, and publications. Who you are: • Advanced degree (Ph.D. preferred) in Computational Biology, Bioinformatics, Genetics, Computer Science, Machine Learning or a related field. • Extensive experience with machine learning techniques and data analysis in a biological context. • Advanced programming skills in Python and proficiency with Linux Bash; familiarity with C is a plus. • Strong foundations in AWS including SageMaker, Glue, Athena, Kinesis Data Firehouse and EMR • Deep understanding of genetics, genomics, and DNA sequence analysis. • Familiarity with bioinformatics tools and databases. • Knowledge of statistical methods and their application to biological data. • Strong communication skills and the ability to present complex data to a diverse audience. • Excellent problem-solving skills and the ability to work independently and collaboratively in a multidisciplinary team. Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity. We are pleased to share the base salary range for this position: $114,210 - $130,590 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process. Read more about our benefits HERE. • Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23) Additional Information: Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities. All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records. Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

Join the HJF Team! The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. HJF is seeking a Senior Bioinformatics Scientist to contribute to the advancement of Bioinformatics, particularly in the areas of Genomics and Metagenomics. In addition, designs, develops, and guides the implementation of software solutions that aid in the visualization and analysis of Next-generation Sequencing data (NGS). Develops solutions to large scale problems as well as customized algorithms and mathematical models to problems in Genomics, Genetics, Metagenomics and NGS. This position will be in support of the Surgical Critical Care Initiative (SC2i). The Surgical Critical Care Initiative (SC2i) (https://sc2i.usuhs.edu), funded by the Department of Defense was established in 2013. SC2i is a Uniformed Services University center that leverages legacy information from service members, and critically ill civilian and military patients to develop biomarker-driven clinical decision support tools (CDSTs) with the goal of improving patient clinical outcomes and reducing costs across the injury/disease cycle. This position offers some telework capabilities with required in office days each week. Responsibilities: • Applies for grant support to novel lines of research in Bioinformatics. • Creates new algorithms and mathematical models to solve problems in Genomics and NGS. • Develops and guides the implementation of specialized software to solve Biological problems and support infrastructure development. • Develops and guides the implementation of customized pipelines to solve recurrently appearing problems in Genomics and NGS. • Trains and supervises junior scientists, Bioinformatics analysts and students providing collaborative assistance in various computing modalities toinclude but not limited to cloud experience. • Cooperates with other groups in finding Statistical and Bioinformatics solutions to problems that may improve their research flow. • Prepares funding documents, written reports, manuscripts for submission to scientific journals, and patent applications. • May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role. Required Knowledge, Skills and Abilities: • Strong background in Computer Science, Statistics, Genomics, Genetics, RDBMS, Cloud Computing, Google APIs, Bioinformatics and Computational Biology required. • Programming skills in languages such as C++ or/and JAVA , and experience programming in PERL or PYTHON. • Expert level programming in statistical software such as SQL and R preferred. • RDBMS preferred. • YAML languages such as Helm, Terraform or Ansible preferred. • Cloud experience required, certifications preferred. Physical Capabilities: • Ability to stand or sit at a computer for prolonged periods. Work Environment: • This position will take place primarily in an office setting. Education and Experience: • Masters or a Doctoral Degree. • Minimum of 6-8 years experience required. Some positions or sites may require that the incumbent be fully vaccinated against COVID-19. Proof of vaccination may be required. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities: The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

Kelly Government Solutions is a strategic supplier and business partner to the federal government and its key suppliers. Through our partnership with the National Institutes of Health, Kelly Government Solutions offers administrative, IT, engineering, scientific, and healthcare professionals the opportunity to work with one of the most prestigious research organizations in the world. We are currently seeking a Bioinformatics Scientist with the National Institutes of Health in Bethesda, MD This is a long-term contract position which offers: • Competitive compensation and comprehensive benefit package • Optional health, vision, and dental plans • Paid leave (min 120 hours; prorated for part-time position) as well as 11 paid federal holidays and 401K plan. • Access to NIH’s unparalleled resources and niche scientific initiatives. • Learn more about what Kelly can do for you at https://government.kellyservices.us/ TASKS. The contractor shall: • Utilize computer simulation expertise such as molecular dynamic and monte-carlo simulations to solve protein structures’ dynamics and mechanism of protein-protein interaction. • Develop and apply in silico tools to design vaccine and therapeutic products against diverse pathogens, including HIV-1, Influenza, or Malaria. • Develop methods to study vaccine-elicited immune responses, including antibodies’ sequence and structural analysis. • Develop and apply custom-made AI/ML tools to analyze vaccine outcomes. • Serve as expert to identify critical/biological findings of experimental data and collaborate with other scientists. • Utilize High performance computing (HPC) to bring the state-of-the-art techniques such as machine learning, artificial intelligence, deep learning to vaccine target protein design. • Co-lead on projects, including (but not limited to) HIV-1 Malaria, Influenza and Lassa) and coordinate with scientists from other organizations or institutions involved in similar or related research projects. • Provide scientific expertise to facilitate protein and vaccine design. • Mentor interns and post-baccalaureate scientists. • Publish the findings and analysis in peer-reviewed journals. REQUIREMENTS. The contractor must have: • PhD in Computational Biology/Chemistry or a related field and 2-3 years of postdoctoral experience. PLEASE APPLY ONLINE When you apply, please know a Kelly Government Solutions Recruiter will review your resume and will contact you directly, if your skills and experience match the requirements of this position; a full job description can be made available at that time. Due to the high volume of inquiries, we regret that we cannot accept phone calls. Even if you aren’t contacted for this position, you are still part of our talent network. All Kelly recruiters have access to your profile, which expands your opportunities even further. As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, short-term disability, and a transportation spending account. Visit https://www.mykelly.us/us-mykelly/perks/ for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community. #government 9665424