computational biologist

Amgen

<div><h2 class="jobSectionHeader"><b>What you will do</b></h2><p><b>
Let&rsquo;s do this. Let&rsquo;s change the world.</b><br>
We are seeking a highly qualified and motivated Principal Data Scientist with deep expertise in computational biology to join the Bioinformatics Technologies team within Amgen&rsquo;s Automation, Research Data Systems, Informatics, and AI (ARIA) organization. ARIA is a multidisciplinary group embedded within Amgen&rsquo;s discovery engine, applying advanced digital technologies to accelerate the path from target inception through drug development. Within ARIA, Bioinformatics Technologies develops and deploys innovative computational methods that enhance target identification, mechanistic characterization, early validation, and therapeutic discovery.</p><p><br>
In this role, you will lead and expand computational and systems biology capabilities that support Amgen&rsquo;s pre-clinical discovery engine, with a strong emphasis on generating insights from functional genomics, multimodal omics, and other high-dimensional biological datasets. You will provide both scientific and people leadership to a team of data scientists applying next-generation computational, statistical, and AI/ML approaches to identify therapeutic targets, uncover biomarkers, refine disease hypotheses, and guide experimental strategies across early research. This position plays a critical role in strengthening the data-driven foundation of Amgen&rsquo;s pre-clinical value chain by elevating analytical rigor and improving interpretation of complex biological data.</p><p></p><p>
The ideal candidate brings strong analytical aptitude, deep technical expertise in computational sciences, and a solid theoretical foundation in advanced statistical and machine learning methods. These skills must be complemented by a strong understanding of molecular biology and functional genomics, along with a proven track record of innovative and collaborative research demonstrated through impactful peer-reviewed publications.<br>
<br>
RESPONSIBILITIES:</p><ul><li>
Mentor junior biological data scientists working on functional genomics, disease biology, and multi-omics analytics to support pre-clinical target discovery and early validation.</li><li>
Develop, implement, and apply advanced computational / AI/ML / statistical methods and workflows to analyze high-dimensional multi-modal omics datasets for target identification, mechanism elucidation, and biomarker hypothesis generation.</li><li>
Drive innovation in design and execution of computational analyses supporting high-throughput screens to map gene-phenotype relationships, prioritize candidate targets, and guide experimental follow-up.</li><li>
Collaborate with experimental biology and translational research teams to align computational predictions with biological context, guide study design, and translate computational insights into actionable pre-clinical hypotheses.</li><li>
Design and implement computational workflows for cutting-edge functional genomics and multi-omics technologies (e.g., single-cell, spatial, long-read sequencing, phenotypic and virtual perturbation screens), using advanced AI/ML/deep-learning methods to simulate cellular responses, derive mechanistic insights, and prioritize therapeutic hypotheses for preclinical validation.</li><li>
Foster a culture of scientific innovation and collaboration within the team by encouraging creative problem-solving, continuous learning, cross-disciplinary exchange, and reproducible experimentation with emerging computational and omics methodologies.</li><li>
Communicate project results and data-driven recommendations to stakeholders and cross-functional partners.</li><li>
Monitor, review, and critically interpret published computational research in the field of computational biology, bioinformatics, and systems biology.<br>
</li></ul><h2 class="jobSectionHeader"><b>
Win</b></h2><p><b>
What we expect of you</b></p><p>
We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a scientist with these qualifications.</p><h2 class="jobSectionHeader"><b><br>
Basic Qualifications:</b></h2><p>
Doctorate degree in computer science, biomedical data science, computational biology, bioinformatics, or systems biology; preferably with post-doctoral training and industry experience</p><h2 class="jobSectionHeader"><b>
Or</b></h2><p>
Master&rsquo;s degree and 6+ years of biomedical data science, computational biology, bioinformatics, systems biology or related field</p><h2 class="jobSectionHeader"><b>
Or</b></h2><p>
Bachelor&rsquo;s degree and 8+ years of biomedical data science, computational biology, bioinformatics, systems biology, or related field</p><h2 class="jobSectionHeader"><b><br>
Preferred Qualifications:</b></h2><ul><li>
Demonstrated track record of scientific productivity in computational biology, bioinformatics, or related research settings.</li><li>
Track record of mentoring, team leadership or supervision within a formal or matrix structure, preferably in a multidisciplinary environment, helping to grow junior scientists and foster innovation, collaboration, and scientific rigor within a data-science team.</li><li>
Proven experience working at the intersection of computational biology, functional genomics, and drug-discovery/preclinical research (e.g., target identification, biomarker discovery, mechanistic modeling).</li><li>
Demonstrated success in applying machine learning, deep learning, generative modeling, topological data analysis, or causal inference to multimodal omics, functional genomics, single-cell, spatial, or long-read sequencing data to generate biologically meaningful hypotheses.</li><li>
Strong programming and data-science skills, including proficiency in Python and/or R; demonstrated experience with large-scale data analysis and high-dimensional biological data; and comfort working in high-performance or cloud computing environments under modern data-science workflows.</li><li>
Familiarity with molecular and disease biology, with the ability to contextualize computational findings in therapeutic discovery.</li><li>
Excellent analytical and communication skills, with the ability to extract and clearly present insights from complex data to diverse audiences with rigor and accuracy.</li><li>
Strong interpersonal and collaborative skills with demonstrated ability to thrive in cross-functional teams and effectively present results to diverse audiences.</li><li>
Creative, open-minded, and passionate about research, with a proven record of innovative algorithm and model development demonstrated through impactful publications, patents, or widely adopted tools.</li></ul></div>

Principal Data Scientist - Computational & Systems Biology

EPAM Systems

<div><p>Our client, a leading global pharmaceutical company, is seeking a highly skilled and motivated <b>Bioinformatics Scientist</b> to join their international research organization, driving innovation across multiple therapeutic areas. In this role, you will design, evaluate, and optimize computational methods for large-scale next-generation sequencing (NGS) analysis, contributing directly to discovery and development programs. You will build robust, production-grade bioinformatics workflows for high-performance computing (HPC) clusters and cloud environments, collaborating closely with biologists, data scientists, and domain experts across Oncology, Immunology, Infectious Diseases &amp; Vaccines, Neuroscience, and Pharmacokinetics.</p><p><b>
Responsibilities</b></p><ul><li>
Develop, benchmark, and optimize computational methods to analyze diverse NGS datasets</li><li>
Build and maintain scalable, automated bioinformatics pipelines for HPC and cloud-based execution</li><li>
Partner with interdisciplinary scientific teams to translate research needs into reproducible analytical workflows</li><li>
Evaluate and implement new algorithms, tools, and computational strategies to enhance data processing capabilities</li><li>
Produce clear technical documentation, reports, and scientific deliverables</li></ul><p><b>
Requirements</b></p><ul><li>
PhD with 1+ year of experience in bioinformatics, or MSc with 5+ years of relevant experience</li><li>
Hands-on experience in processing NGS datasets (WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, single-cell, etc.)</li><li>
Practical experience with workflow/pipeline scripting languages (e.g., Nextflow)</li><li>
Strong understanding of computational methods for alignment, assembly, variant detection, enrichment, or related genomics applications</li><li>
Familiarity with common bioinformatics file formats (FASTA, FASTQ, BAM, VCF, etc.)</li><li>
Proficiency in Python, R, or C++ within a Unix/Linux environment</li><li>
Experience with high-performance computing clusters and cloud computing platforms</li><li>
Ability to independently troubleshoot using documentation, GitHub, and online resources</li><li>
Proven scientific publication record</li><li>
Strong collaboration, communication, and interpersonal skills</li><li>
Excellent written and spoken English (B2 level or higher)</li></ul><p><b>
Nice to have</b></p><ul><li>
Experience with containerization technologies, such as Docker or Singularity</li><li>
Experience in applying or optimizing machine learning tools within a bioinformatics context</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Python Scientific Informatics Engineer

Rutgers University

<div><div><h2 class="jobSectionHeader"><b>Position Details</b></h2>
<div><div><div>Position Information
</div><p></p><div><div><div><div><b>Recruitment/Posting Title</b></div> <div>Open Rank - Data Science Research</div>
</div><br>
<div><div><b>Department</b></div> <div>NJMS - PHRI Center</div>
</div><br>
<div><div><b>Salary Details</b></div> <div>A minimum of $94832</div>
</div><br>
<div><div><b>Offer Information</b></div>
<div>The final salary offer may be determined by several factors, including, but not limited to, the candidate&rsquo;s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university&rsquo;s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.</div>
</div><br>
<div><div><b>Benefits</b></div>
<div><div>Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:</div>
<ul><li>Medical, prescription drug, and dental coverage</li>
<li>Paid vacation, holidays, and various leave programs</li>
<li>Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options</li>
<li>Employee and dependent educational benefits (when applicable)</li>
<li>Life insurance coverage</li>
<li>Employee discount programs</li>
</ul></div>
</div><br>
<div><div><b>Posting Summary</b></div>
<div><div>The Center for Data Science at New Jersey Medical School (NJMS), Rutgers Biomedical and Health Sciences, located in Newark, NJ, invites applications for full time, tenure-track appointments at the Assistant, Associate or Professor level. We are currently recruiting candidates with expertise in data science, machine learning, computational or systems biology, and/or bioinformatics, with interest in applying computational methods in the context of all areas of biomedical research. The position will be supported by a competitive start up package with exceptional candidates being considered for further support as Chancellor Scholars.</div><div>
The Center for Data Science (CDS): The recently established CDS is working to formally establish a data-centric research ecosystem at Rutgers RBHS, to better facilitate the acquisition, management, analysis, and democratization of biomedical research data. CDS will focus on three primary pillars: (1) Research support: support computational research and establish data science support services and resources to foster collaborative teamwork; (2) Community building: integrate and unite faculty and students at Rutgers conducting data-driven research and provide a forum for discussion and interaction; (3) Data science education: develop resources, seminars, courses, and educational programs for data management and analysis for researchers at all levels of experience. We seek candidates that are interested in furthering one or more of the pillars of CDS and establishing a stronger collaborative presence at RBHS.</div><div>
The applicant will be expected to develop a strong extramurally funded independent research program. NJMS has considerable strengths in biomedical research with ample opportunities for faculty in CDS to collaborate with NIH-funded investigators across a variety of disciplines including: cardiovascular disease, neuroscience, immunology, and infectious diseases.</div></div>
</div><br>
<div><div><b>Position Status</b></div> <div>Full Time</div>
</div><br>
<div><div><b>Posting Number</b></div> <div>24FA0378</div>
</div><br>
<div><div><b>Posting Open Date</b></div>
</div><br>
<div></div><div><div><b>Posting Close Date</b></div> <div>01/07/2026</div>
</div><br>
</div></div></div><div><div>Qualifications
</div><p></p><div><div><div><div><b>Minimum Education and Experience</b></div>
<div>Applicants must have a Ph.D., M.D., or equivalent degree, post-doctoral experience, excellent communication skills and a record of productivity in biostatistics, computer science, or data science methods applied in biomedicine and disease research. Rank will be determined based on experience and accomplishments including extramural funding and impactful publications.</div>
</div><br>
<div><div><b>Certifications/Licenses</b></div>
</div><br>
<div></div><div><div><b>Required Knowledge, Skills, and Abilities</b></div>
</div><br>
<div></div><div><div><b>Preferred Qualifications</b></div>
</div><br>
<div></div><div><div><b>Equipment Utilized</b></div>
</div><br>
<div></div><div><div><b>Physical Demands and Work Environment</b></div>
</div><br>
<div></div><div><div><b>Overview</b></div>
</div><br>
<div></div><div><div><b>Statement</b></div>
</div><br>
</div></div></div><div></div><div><div>Posting Details
</div><p></p><div><div><div><div><b>Special Instructions to Applicants</b></div>
<div>Applicants should submit a: (1) cover letter, (2) summary of present and future research plans, (3) curriculum vitae, and (4) names/email addresses of three references to: <b>datasci.cv@rutgers.edu</b>
</div>
</div><br>
<div><div><b>Quick Link to Posting</b></div> <div>https://jobs.rutgers.edu/postings/224260</div>
</div><br>
<div><div><b>Campus</b></div> <div>Rutgers Biomedical and Health Sciences (RBHS)</div>
</div><br>
<div><div><b>Home Location Campus</b></div> <div>Newark (RBHS)</div>
</div><br>
<div><div><b>City</b></div> <div>New Jersey</div>
</div><br>
<div><div><b>State</b></div> <div>N/A</div>
</div><br>
<div><div><b>Location Details</b></div>
</div><br>
</div></div></div><div></div><div><div>Pre-employment Screenings
<p></p><div>All offers of employment are contingent upon successful completion of all pre-employment screenings.</div><p></p>
</div></div><div></div><div><div>Immunization Requirements
<p>Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate&rsquo;s offer of employment or disciplinary action up to and including termination.</p>
</div></div><div></div><div><div>Equal Employment Opportunity Statement
<p></p><div>It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
</div>
</div></div></div></div><p></p><h2 class="jobSectionHeader"><b>Posting Specific Questions</b></h2>
<div><p>Required fields are indicated with an asterisk (*).</p>
<p>
</p></div><h2 class="jobSectionHeader"><b>Applicant Documents</b></h2>
<div><b>Required Documents</b>
<div><ul><li>Resume/CV</li></ul>
<ul><li>Cover Letter/Letter of Application
</li></ul><ul><li>List of Professional References (contact Info)</li></ul>
<ul><li>Research Statement</li></ul>
</div><b>Optional Documents</b></div></div><p></p>

Open Rank - Data Science Research

Mount Sinai Health System

<div><b>Description</b><div>
Title: Postdoctoral Fellow</div>
<div>
Salary: $74,692</div>
<div>
Department: Pharmacological Sciences</div>
<div>
Physical work location: 1425 Madison Ave</div>
<div>
Name PI or Supervisor: Marta Filizola, 212-659-8690; marta.filizola@mssm.edu</div>
<div>
Web link to Lab: www.filizolalb.org</div>
<div>
Web link to Department: https://icahn.mssm.edu/about/departments/pharmacological-sciences</div>
<div>
Administrative Contact: Yoori Kim, 212-6598651, yoori.kim@mssm.edu</div><b><br>
Responsibilities</b><p>
Details of Research Project:</p><p>
Dr. Pe&ntilde;a&rsquo;s proposed research will further build upon and enhance the Filizola lab&rsquo;s research program aimed at elucidating membrane protein structures and dynamics for the purpose of drug discovery. His work will contribute to deepening mechanistic understanding of signaling processes through advanced computational approaches. Key responsibilities will include: (a) Conducting enhanced molecular dynamics simulations to probe membrane protein structures, conformational dynamics, and activation pathways; (b) Designing, developing, and applying innovative computational methods that advance the lab&rsquo;s research goals and guide experimental strategies; (c) Performing rigorous analysis and interpretation of complex simulation and experimental datasets to extract mechanistic insights into membrane protein signaling and activation; (d) Generating high-quality preliminary data in support of grant applications and contributing to the preparation of manuscripts for submission to high-impact peer-reviewed journals; and (e) Collaborating closely with lab members, mentoring graduate trainees, and fostering an inclusive and supportive research environment that encourages intellectual development and teamwork.</p><p></p><p><br>
Technical Duties: (include any protocols)</p><p>
Molecular dynamics simulations, metadynamics, OPES, XGBoost machine learning models</p><b><br>
Qualifications</b><p>
Educational and other Requirements for the position:</p><p>
PhD in Chemistry, Biophysics, Computational Biology, machine learning, or related discipline.</p><p></p><p><br>
Experience Required:</p><p>
PhD-level research training.</p><p></p><p><br>
Goals/Outcomes of the Research Project:</p><p>
Generation of new scientific knowledge and publications in high-impact peer-reviewed journals.</p><p></p><p><b><br>
Compensation Statement</b></p><p>
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 $74,692.00 - $80,000.00 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.</p><p>
, 858 - Pharmacological Sciences - ISM, Icahn School of Medicine</p><b><br>
Employer Description</b><p><b>
Strength through Unity and Inclusion</b></p>
<p>
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&rsquo;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.</p>
<p>
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.</p>
<p><b>
About the Mount Sinai Health System:</b></p>
<p>
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 &mdash; 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&rsquo; 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 &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; 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 &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;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&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; 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.</p>
<p><b>
Equal Opportunity Employer</b></p>
<p>
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.</p><p><b><br>
Compensation</b></p><p>
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 $72500 - $80000 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.</p></div>

Postdoctoral Fellow-MSH-30040-227

Providence Swedish

<div><p><b>Description</b></p>
<p>We are seeking an Associate Bioinformatics Scientist who will be responsible for providing comprehensive bioinformatics support for the analysis and interpretation of advanced, high throughput molecular, genomic and clinical data types including gene expression, imaging, electronic medical records, etc. The Associate Bioinformatics Scientist will develop and apply bioinformatics methods and software tools for analysis and integration with clinical information and perform tasks to reduce and consolidate data output to help interpret and prioritize findings for numerous immuno-oncology focused projects.</p>
<p>Providence Swedish caregivers are not simply valued &ndash; they&rsquo;re invaluable. Join our team at Swedish Research and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.</p>
<p><b>Required Qualifications:</b></p>
<ul><li>Bachelor's Degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Biology</li>
Master's Degree in Bioinformatics, Computational Biology, Computer Science, Engineering, or Biology -or<li>-</li>
<li>5 years of equivalent professional experience in lieu of Master's Degree</li>
<li>2 years of experience related to bioinformatics work in a clinical laboratory or experience in academia, biotechnology, or other healthcare field (preferably involving next generation sequence data analysis)</li>
<li>Significant computational experience</li>
<li>First-hand experience in clinical informatics and/or NGS analysis and methods as well as the computing infrastructure and data management methods</li>
<li>First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery. For example, multivariate analysis; dimensionality reduction methods; parametric and non-parametric statistical methods; Bayesian statistics; pattern recognition or classification methods.</li>
<li>First-hand experience at integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data to identify testable hypotheses</li>
<li>Proven experience and success in a team-oriented environment</li>
<li>Proven success in independent effort and delivering high quality data with biological relevance in a team environment</li>
</ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Experience with the following:</li>
<li>Clinical data analysis/Large dataset analysis in R</li>
<li>Analyzing next generation sequencing data (DNA-seq, RNA-seq, etc.)</li>
<li>Commonly used database and bioinformatics tools for NGS data analysis (e.g.) bedtools, SAMtools, IGV, ANNOVAR, Bowtie, GATK, ChimeraScan, UCSC Genome Browser, Galaxy, SoftGenetics, CLC bio, TopHat, etc.)</li>
<li>Web framework (e.g. Django, Sinatra, Rails or others)</li>
<li>HTML/CSS, Javascript and SQL on NoSQL databases</li>
</ul><p><b>Why Join Providence Swedish?</b></p>
<p>Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally and achieving financial security. We take care of you, so you can focus on delivering our mission of improving the health and wellbeing of each patient we serve.</p>
<p><b>About Providence</b></p>
<p>At Providence, our strength lies in Our Promise of &ldquo;Know me, care for me, ease my way.&rdquo; Working at our family of organizations means that regardless of your role, we&rsquo;ll walk alongside you in your career, supporting you so you can support others. We provide best-in-class benefits and we foster an inclusive workplace where diversity is valued, and everyone is essential, heard and respected. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington. As a comprehensive health care organization, we are serving more people, advancing best practices and continuing our more than 100-year tradition of serving the poor and vulnerable.</p>
<p>Posted are the minimum and the maximum wage rates on the wage range for this position. The successful candidate's placement on the wage range for this position will be determined based upon relevant job experience and other applicable factors. These amounts are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.</p>
<p>Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits.</p>
<p>Applicants in the Unincorporated County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Unincorporated Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.</p>
<p><b>About the Team</b></p>
<p>Providence Swedish is the largest not-for-profit health care system in the greater Puget Sound area. It is comprised of eight hospital campuses (Ballard, Edmonds, Everett, Centralia, Cherry Hill (Seattle), First Hill (Seattle), Issaquah and Olympia); emergency rooms and specialty centers in Redmond (East King County) and the Mill Creek area in Everett; and Providence Swedish Medical Group, a network of 190+ primary care and specialty care locations throughout the Puget Sound. Whether through physician clinics, education, research and innovation or other outreach, we&rsquo;re dedicated to improving the wellbeing of rural and urban communities by expanding access to quality health care for all.</p>
<p>Providence is proud to be an Equal Opportunity Employer. We are committed to the principle that every workforce member has the right to work in surroundings that are free from all forms of unlawful discrimination and harassment on the basis of race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law. We believe diversity makes us stronger, so we are dedicated to shaping an inclusive workforce, learning from each other, and creating equal opportunities for advancement.</p>
<p>For any concerns with this posting relating to the posting requirements in RCW 49.58.110(1), please click here where you can access an email link to submit your concern.</p>
<p><b>Requsition ID:</b> 407688
</p><p><b>Company:</b> Swedish Jobs
</p><p><b>Job Category:</b> Research
</p><p><b>Job Function:</b> Clinical Support
</p><p><b>Job Schedule:</b> Full time
</p><p><b>Job Shift:</b> Day
</p><p><b>Career Track:</b> Clinical Professional
</p><p><b>Department:</b> 3909 SRE ADMINISTRATION
</p><p><b>Address:</b> WA Seattle 1124 Columbia St
</p><p><b>Work Location:</b> Swedish First Hill 1124 Columbia-Seattle
</p><p><b>Workplace Type:</b> Hybrid
</p><p><b>Pay Range:</b> $39.45 - $61.24
</p><p>The amounts listed are the base pay range; additional compensation may be available for this role, such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities.</p></div><p></p>

Associate Bioinformatics Scientist

GenBio AI

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 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
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 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
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  Job Description:
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   You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
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   You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
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   Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
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  Qualification:
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   M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
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   Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
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   Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
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   Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
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   Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
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   Familiarity with software engineering best practices (version control, documentation, etc)
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  Nice to Have:
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   3 year PhD student and above
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   Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
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   Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
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   Hands-on experience working at the intersection of AI and Biology
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   Experience in large-scale distributed training and inference
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   Open-source contributions, especially if used by others
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 Join us as we embark on this journey to redefine the future of biology and medicine.
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 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Research Scientist Intern

Stanford University

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer II to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Ashley's research focuses on applying genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Wheeler's research centers on integrating large-scale molecular and clinical data to understand the genetic basis of diseases and to develop novel therapeutic strategies.<br><br> In this role, you will focus on genome, epigenome, and transcriptome (GET) analyses (specifically WGS, ATAC-seq, and RNA-seq) running the pipelines and tools that convert raw sequencing data into clean, analysis-ready results for the consortium. You will architect and operate scalable workflows that adhere to best practices, including WGS variant calling and joint genotyping, RNA-seq quantification and differential expression, and ATAC-seq peak calling and differential accessibility. You will adapt rigorous QC frameworks across modalities; produce integrated multi-omics analyses (e.g., linking genetic variation, chromatin accessibility, and gene expression through eQTL/caQTL/colocalization); and deliver clear visualizations, genome browser tracks, and interactive dashboards that enable collaborative interpretation across teams.<br><br> Your work will span data engineering and software development: building reproducible pipelines with Nextflow and/or WDL/Cromwell, containerizing and testing them for reliable deployment on cloud and HPC environments; leveraging GCP services such as Cloud Storage and BigQuery; and designing robust schemas for omics metadata and results. You will apply software engineering best practices (version control, code review, automated testing, and documentation) while implementing data governance aligned with FAIR principles and secure handling of controlled-access human genomic data. As a key contributor to our public-facing portal (), you will help push the boundaries of biomedical data analytics to accelerate discovery and translation.<br><br> You will collaborate closely with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust computational analyses and to communicate findings in reports, presentations, and publications. Working within our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being.<br><br> This is an 18-month fixed term position. This is a hybrid eligible position.<br><br> <b>Why Join Us?</b><ul><li>Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health.</li><li>Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine</li><li>Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases.</li><li>Enjoy a collaborative and stimulating work environment at one of the top universities in the world.</li></ul> If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter.<br><br> <b>Duties include:</b><ul><li>Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.</li><li>Determine additional data collection and reporting requirements.</li><li>Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.</li><li>Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.</li><li>Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.</li><li>Serve as a resource for non-routine inquiries such as requests for statistics or surveys.</li><li>Test prototype software and participate in approval and release process for new software.</li><li>Provide documentation based on audit and reporting criteria to investigators and research staff.</li></ul> <b>DESIRED QUALIFICATIONS:</b><ul><li>Transcriptomics and Gene Expression Analysis: Comprehensive RNA-seq workflows including read alignment (STAR, HISAT2), quantification (Salmon, Kallisto), QC (FastQC, MultiQC, RSeQC, Picard), normalization and differential expression (DESeq2, edgeR, limma), and pathway enrichment. Isoform analysis (StringTie) and fusion detection (STAR-Fusion) are a plus.</li><li>Advanced Genomics Data Analysis Expertise: Extensive experience with WGS data from raw FASTQ through variant calling, joint genotyping, annotation, cohort-level QC, and interpretation. Proficiency with BWA-MEM/BWA, GATK Best Practices (BQSR, HaplotypeCaller, joint calling, VQSR), DeepVariant, bcftools, and scalable VCF/BCF/CRAM handling.</li><li>Structural and Copy Number Variation: Experience with SV/CNV calling and QC (e.g., Manta, Delly, LUMPY, CNVnator), sample-level QC (coverage, duplication, contamination via VerifyBamID/Peddy/Somalier), and cohort metrics (Ti/Tv, call rate, Hardy-Weinberg).</li><li>Epigenomics and Chromatin Accessibility Analysis: Expertise in ATAC-seq processing and analysis, including alignment (BWA/Bowtie2), Tn5 shifting, peak calling (MACS2), replicate concordance (IDR), QC metrics (FRiP, TSS enrichment, nucleosome signal), differential accessibility (DiffBind/DESeq2), footprinting (HINT-ATAC), motif enrichment (HOMER/MEME), and browser tracks (bigWig/bigBed for IGV/UCSC). Regulatory element annotation using ENCODE/Roadmap resources.</li><li>Multi-omics Data Integration: Experience integrating WGS, ATAC-seq, and RNA-seq to identify regulatory relationships (eQTL/aseQTL/caQTL, colocalization), linking chromatin accessibility to gene expression and variant effects.</li><li>Advanced Python and R for Genomics: Deep proficiency in Python and R/Bioconductor with strong statistical and reproducible analysis skills.</li><li>Genomics Workflow Development: Proven experience designing, testing, and deploying complex workflows using Nextflow and/or WDL/Cromwell (or Snakemake) in cloud or HPC environments, with containerization (Docker, Singularity) and CI/CD for reproducibility.</li><li>Specialized Cloud and Database Skills: Hands-on experience with GCP (Cloud Storage, BigQuery), and genomics platforms (Terra, AnVIL). SQL skills and experience designing schemas for omics metadata/results; familiarity with gnomAD, ClinVar, Ensembl/RefSeq, dbSNP, UCSC.</li><li>Genome Browser and Visualization Expertise: Proficiency creating custom track hubs and sessions for IGV/UCSC; ability to produce publication-quality visualizations and interactive dashboards for large-scale genomics data.</li><li>Software Engineering Best Practices: Version control (Git/GitHub), code review, issue tracking, semantic versioning, packaging (setuptools/Poetry), automated testing (pytest), and comprehensive documentation (Sphinx/MkDocs).</li><li>Data Governance and FAIR Principles: Demonstrated experience with data lineage, provenance, audit trails, and adherence to FAIR; secure handling of controlled-access human genomic data (HIPAA/IRB compliance, DUAs), and submissions to dbGaP/GEO/SRA.</li><li>Cross-functional Collaboration and Communication: Proven ability to work with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust, actionable computational analyses.</li></ul> <b>EDUCATION & EXPERIENCE (REQUIRED):</b><ul><li>Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.</li></ul> <b>KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):</b><ul><li>Substantial experience with MS Office and analytical programs.</li><li>Excellent writing and analytical skills.</li><li>Ability to prioritize workload.</li></ul> <b>CERTIFICATIONS & LICENSES:</b><ul><li>None</li></ul> <b>PHYSICAL REQUIREMENTS :</b><ul><li>Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.</li><li>Occasionally use a telephone.</li><li>Rarely writing by hand.</li></ul><b>WORKING CONDITIONS:</b><ul><li>Some work may be performed in a laboratory or field setting.</li></ul><b>WORKING STANDARDS:</b><ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.</li><li>Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, </li></ul> <b>The expected pay range for this position is $108,002 to $128 . click apply for full job details

Bioinformatics Engineer II (18 Month Fixed-Term) (Hybrid Opportunity)

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