Bioinformatics Jobs

Job Description When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it’s just one of the many reasons we rank as one of the top hospitals in the nation by U.S. News & World Report. From working with a team of committed healthcare professionals to using state-of-the-art facilities, you’ll have everything necessary do something incredible—for yourself and for others! Are you ready to be a part of breakthrough research? The Knott laboratory is searching for computational scientists to develop and apply machine learning tools to study next-generation single-cell datasets. The Knott lab is located in the Center for Bioinformatics and Functional Genomics at Cedars-Sinai Medical Center, in Los Angeles, California. The lab focuses on understanding the molecular mechanisms of disease using a combination of genomics, computational biology, and functional studies in animal models. To learn more, please visit Knott Research Lab | Cedars-Sinai. The Research Bioinformatician I performs general bioinformatics analysis and software support for projects involving in omics. The RBI manages omic data including loading and querying data from database system(s) and public repositories, and transforms and merges multilevel omic data into user-friendly formats. The RBI assists in the development, testing, and maintenance of modular software pipelines, and provides daily bioinformatics data analysis, preliminary interpretation of the data, and reports of the results for possible publications. Primary Job Duties & Responsibilities: • Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers. • Summarizes data analyses results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data. • Assists in development, testing, and maintenance of modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences. • Manages data including loading and querying data from database systems, downloading omic data from public repositories, and transforming data to the necessary formats. • Helps to identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology. Qualifications Education: • Bachelor’s Degree in Computer Science, Electric Engineering, Computational Biology, or Bioinformatics, or relevant fields (e.g. Biology with strong quantitative training, biostatistics with a concentration in bioinformatics). Master's degree is preferred. Experience and Skills: • No experience is required. • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics, Familiar with C/C++, Java, Perl, python, and the Unix (Linux) environment, Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus. • Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets, both in exploratory and pipelined fashions, will be a plus. About Us Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents. About the Team Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most. Req ID : 5224 Working Title : Research Bioinformatician I - Knott Lab - Center for Bioinformatics and Functional Genomics Department : Research - BMS - Bioinfo and Func Genomics Business Entity : Cedars-Sinai Medical Center Job Category : Academic / Research Job Specialty : Bioinformatics Overtime Status : EXEMPT Primary Shift : Day Shift Duration : 8 hour Base Pay : $71,219.20 - $121,076.80

Help us change lives At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others. Position Overview The intern will support the development of DNA methylation data analysis pipelines on AWS Omics. This role will involve working with next-generation sequencing (NGS) data and assisting in the development of robust cloud-based workflows for clinical sample processing. The intern will have the opportunity to contribute to the transition of current pipelines to a fully operational pipeline on AWS, ensuring data compliance within the US environment. This 2025 summer internship position is onsite in San Diego. Essential Duties Include, but are not limited to, the following: • Support DNA methylation data analysis pipeline development. • Implement AWS omics pipeline for whole genome and targeted NGS experiments. • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork. • Support and comply with the company’s Quality Management System policies and procedures. • Ability to act with an inclusion mindset and model these behaviors for the organization. Scheduling requirements: • Ability to work full time and onsite in San Diego. Physical requirements: • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 100% of a typical working day. • Ability to work on a computer and phone simultaneously. • Ability to use a telephone through a headset. • Ability to work seated for approximately 100% of a typical working day. • Ability to comply with any applicable personal protective equipment requirements. Minimum Qualifications • Currently enrolled in a PhD degree program in bioinformatics, computational biology, computer science, mathematics, or related fields. • Basic proficiency in Python, R, and workflow languages is essential, as well as experience with AWS. • Preference giving to candidates with a record of outstanding academic achievement. • Demonstrated ability to perform the essential duties of the position with or without accommodation. • Authorization to work in the United States without sponsorship. #LI-AN1 Salary Range: $37,000.00 - $59,000.00 The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits. Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here. Not ready to apply? Join our talent community and stay up to date on what’s new at Exact Sciences. We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company’s affirmative action program. To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

BIOINFORMATICS SPECIALIST (ASSOCIATE or FULL Rank) - ULLIAN LAB The Department of Ophthalmology at the University of California, San Francisco (UCSF) is looking to hire a full-time Associate or Full Specialist to focus on bioinformatics and data analysis for various research projects. We are seeking a highly motivated and dedicated professional who can thrive in a collaborative, multidisciplinary environment that involves working with multiple laboratories with diverse interests. Our vision researchers are based in Rock Hall, Cardiovascular Research Building, Sandler Neurosciences Center, and Wayne and Gladys Valley Center for Vision on the UCSF Mission Bay Campus. The Bioinformatics Specialist (Associate or Full) will work with Vision researchers to provide comprehensive bioinformatics support to users of the Department of Ophthalmology’s NIH-funded Vision Core Grant. Key responsibilities will include the following: • provide expertise in the design, execution, data management, and analysis of a variety of genomics projects from start to finish including but not limited to, typical sequencing techniques, such as single-cell/bulk RNA-seq, ATAC-seq, spatial transcriptomics (MERFISH/Visium), proteomics, metabolomics, and other omics data across modalities. • develop bioinformatics tools used for whole genome sequencing, targeted sequencing, RNA sequencing, and single cell sequencing to analyze sequence data and provide bioinformatics and data science support to various research projects in understanding mammalian eye diseases. • design and implement state-of-the-art analysis pipelines using best software engineering practices, including benchmarking, quantitative assessment, adaptation, and parameter optimization of emerging bioinformatic pipelines and algorithms. The successful candidate will join a dynamic community of investigators and can participate in a range of collaborative projects in the field of vision neuroscience. The Specialist will develop and cultivate relationships with research groups through one-on-one and group meetings. Additionally, responsibilities will involve oral presentations and preparing high-quality publication level graphs and figure panels, and written work for meetings and publications. The position offers excellent career development opportunities such as co-authorship of manuscripts, participation in meetings and conferences, and networking opportunities both within and beyond the UCSF campus with other vision scientists if the candidate is motivated, a self-starter and eager to take advantage of the opportunities. Required qualifications • Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of experience in the relevant specialization. • Specialists appointed at the full rank must possess a PhD/postdoctoral level training in bioinformatics and a strong research background in vision neuroscience with a biological, theoretical and practical application of a body of highly specialized knowledge in the human, primate and non-human primate visual system. • Experience and track record in leading the construction and comparison of single cell retinal atlas of marmoset, and/or other non-human primate, human, as well as probing postnatal development mechanisms of the fovea. • The candidate must have organizational and collaborative skills. • Must be adaptable, reliable, and willing to learn. • Excellent communication, organizational and time management skills are essential. • Applicants' materials must list current and/or pending qualifications upon submission. • Applicant must have all requirements met by time of hire. Preferred qualifications • Background knowledge of genomics, genetics, molecular biology, data science, and statistical modeling. • Proficiency with R, Unix, Bash, Python. SLURM for on HPC. Version control such as Github. • Single-cell omics analysis pipelines and tools such as Seurat, Signac, Monocle, Harmony, Liger, FastMNN, Limma, RNA-velocity, SCENIC(plus), Scanpy, GSVA, GO-PCA, Clustering Trees, Encode-ATAC-seq, NicheNet, CellPhoneDB, CellChat, Infercnv, Metascape etc. • Knowledge with whole genome sequencing (WGS) and typical NGC analysis pipelines and tools such as Fastqc, samtools, bwa, bedtools, freebayes, GATK, SOILoCo, Lep-Map3, HAWK, AFLAP. • Experience in statistical modeling for neural recordings, imaging and behavioral data. • Experience with data science projects encountered in vision and ophthalmology research, such as large electronic health records, epidemiology datasets, neural recordings, imaging, and behavioral data. • Ability to coordinate and mentor people with non-bioinformatics background. • Ability to prioritize and multi-task is necessary. Please apply online at https://aprecruit.ucsf.edu/JPF05312. Document requirements Curriculum Vitae (CV) Reference requirements 2 required (contact information only) Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Salary and Rank will be commensurate with the applicant’s experience and training. See Table 24B for the salary range for this position. A reasonable estimate for this position is $73,000 - $188,200. Please direct any questions to Erik.Ullian@ucsf.edu.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Bioinformatics Analyst (Cheminformatics) to work the UHealth Medical Campus in Miami, FL 33146. CORE JOB SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts features of interest from data relating to specific biological questions. ● Contributes to the maintenance of genomic and clinical databases. ● Performs statistical and integrative data analysis on genomics and clinical data. ● Works along-side other team members and data analysts. ● Follows standard operating procedures, documentation, and scripts to generate reports. ● Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: PhD degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: ● Skill in collecting, organizing, and analyzing data. ● Ability to recognize, analyze, and solve a variety of problems. ● Ability to exercise sound judgment in making critical decisions. ● Ability to process and handle confidential information with discretion. ● Proficiency in computer software. Department Specific Functions & Qualifications The Sylvester Comprehensive Cancer Center & the Department of Molecular and Cellular Pharmacology are actively seeking a full-time Bioinformatics / Cheminformatics Analyst to work on the UHealth campus in Downtown Miami. At Sylvester, we are at the cutting edge of healthcare innovation, leveraging artificial intelligence and machine learning to transform drug discovery and development. Our mission is to accelerate the delivery of therapeutic solutions to patients through state-of-the-art technology and groundbreaking research. The Analyst will leverage expertise in computational chemistry, bioinformatics, and AI to process and analyze large-scale biomedical, small molecule bioactivity, structural biology, image, and clinicogenomic datasets, integrating them with the Sylvester Data Portal. The successful candidate will work within an interdisciplinary team of research scientists, data engineers, and full-stack developers, using state-of-the-art software development practices to enhance the university’s research activities. Primary Responsibilities: ● Process and analyze large-scale multi-omics and drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Develop and maintain production-grade pipelines for processing and analysis of diverse biomedical datasets. ● Develop visualization and bioinformatic analysis tools for exploring diverse biomedical data. ● Integrate developed tools and pipelines with Sylvester’s internal end-user data analytics platform. ● Apply state-of-the-art AI, bioinformatics, and biostatistics approaches to cancer precision medicine. ● Write standard operating procedures and other relevant documentation. ● Develop and apply AI/ML models for structure-based and ligand-based drug design. ● Utilize computational tools to predict and optimize pharmacokinetic (PK) and pharmacodynamic (PD) properties of drug candidates. ● Design and implement algorithms to identify novel drug candidates and elucidate their mechanisms of action. ● Integrate and analyze large-scale biological, chemical, and clinical datasets to extract insights and inform drug discovery decisions. ● Collaborate with cross-functional teams to advance drug discovery projects. ● Analyze and interpret PK/PD data using advanced statistical and modeling software. ● Stay updated with advancements in computational chemistry, AI, and bioinformatics. ● Contribute to the development of new computational tools and methodologies. ● Present findings to both technical and non-technical stakeholders. ● Participate in scientific discussions and strategy meetings, providing AI/ML expertise. ● Author scientific papers, reports, and patents related to AI/ML in drug discovery. Preferred Requirements ● PhD or MSc degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience with analyzing and interpreting different omics and/or drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Experience with using common open-source bioinformatics/NGS workflows (BWA, STAR, Picard, GATK, etc.). ● Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and developing and deploying machine learning models. ● Highly motivated, strong work ethic, and able to work independently and with a team. ● Excellent skills in communication, organization, and time management. Preferred Qualifications ● For Ph.D. holders: 0-3 years of relevant experience in computational chemistry, AI, and drug discovery. ● Deep expertise with chemical toolkits such as DeepChem, ChemAxon, OEChem, or RDKit. ● Familiarity with drug discovery databases (CTRP, GDSC, PRISM, CCLE, DepMap, LINCS) and publicly available clinicogenomic datasets (CPTAC, TCGA, AACR Project GENIE, etc.). ● Experience with Cloud Computing Environments (e.g., Azure). ● Familiarity with relational (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB). ● Familiarity with container technologies (e.g., Docker). ● Experience with Generative AI tools and techniques. ● Familiarity with High Performance Computing. ● Familiarity with version control (Git). #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

Description Serves as a technical leader in applying computational theory to practice, with an in-depth understanding of diverse IT-related research application areas. The Bioinformatics Programmer manages assigned programs by utilizing principles of computational research, computer science, data science, and CI software development, along with relevant scientific knowledge and professional programming concepts for research projects. They have extensive experience analyzing neurological, physiological, and behavioral data. The Bioinformatics Programmer develops and optimizes a variety of computational, data science, and CI research tools and components. You will build and deploy custom AI models for supervised and unsupervised extraction of behavioral, neurological, and physical health patterns, including models not covered by standard platforms or repositories. You will perform highly complex analyses and tests of software and hardware, applying advanced programming principles and conduct research on current and future HPC, CI technologies, and edge computing, both hardware and data. The Bioinformatics Programmer engages in algorithm development, optimization, programming, and computer science research. You will collaborate with cross-functional teams and managers, and train data science teams to integrate and optimize research technologies ensuring compliance with relevant regulations and ethical standards. Salary Range: $112900 - $256900/Annually

The Molecular Profiling and Data Science Department at Regeneron is seeking an enthusiastic and rigorous scientist who values independent research in an open and collaborative work environment. In this role, a typical day might include: • The candidate will operate at the interface of dry and wet-lab environments, leading software development and bioinformatic analyses to help the Regeneron Genetics Medicines department create next-generation gene therapies (gene editing, suppression, expression, and insertion). • They will contribute to cutting-edge technologies such as AAVs, si/shRNAs, LNPs, and CRISPR-Cas9 to treat and cure diseases. • The candidate will be part of a group consisting of computational scientists with backgrounds ranging from biology to physics with knowledge in genomics and machine learning. • They will work closely with the NGS team and wet-lab scientists across Regeneron to create genetic therapies for a wide range of diseases. This role might be for you if can: • Design, generate and interpret high dimensional data from key platform technologies to support the Regeneron Genetic Medicines department develop novel genetic therapy strategies. • Develop, implement and utilize pipelines in R and/or Python to carry out a range of bioinformatic analyses on large volumes of omics data. • Set priorities and ensure project completion within pre-defined timeframes. • Present results to internal stakeholders, publish in peer-reviewed journals, participate in cross-functional meetings and external activities, and contribute to patent and regulatory filings. The ideal candidate will have a combination of: • Experience with NGS, as well as experimental wet-lab molecular biology and genetic techniques, such as cloning and CRISPR. • Experience extracting biological insights from transcriptomics, genomics, and other omics datasets at the single-cell and bulk level. • Demonstrated experience with applying statistics, especially machine learning models, to answer biological questions. • Familiarity with a Linux environment, shell scripting, and high-performance computing clusters. To be considered for this opportunity, you must have the following: • A BSc + 2 years of industry experience, or an MSc in Quantitative Biology, Bioinformatics, Computational Biology, Systems Biology, or related field. • Hands-on experience developing and using bioinformatic tools to analyze omics datasets. • Ability to apply quantitative reasoning when analyzing data, with an appropriate understanding of the assumptions and models used to make inferences. • Excellent presentation and interpersonal communication skills, allowing you to engage with diverse audiences and navigate between high-level motivations and technical details. • An independent, problem-solving mindset, with the capacity to introduce novel bioinformatic pipelines and dive deep into data while balancing different internal priorities from diverse preclinical programs. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $90,700.00 - $148,100.00

About Us: Tentarix Biotherapeutics is a biotechnology company with a revolutionary platform for the discovery of next generation, multispecific biologic drugs, with the potential to make a significant difference in the lives of patients suffering with diseases, such as cancer and autoimmunity. We are led by a seasoned executive team with proven expertise in the field of multispecific drug discovery, drug development, and company-building. We are supported by top tier healthcare investors and have several ongoing partnered programs with Gilead and AbbVie. We are committed to hiring and retaining highly qualified and motivated team members who are passionate about making a difference for patients in the modern drug discovery landscape. The Tentarix culture is founded on integrity, accountability, teamwork, and respect. Our team members are creative, hands-on, self-directed, and determined. We offer autonomy, flexibility, a modern culture, and the best tools to ensure the success of our team. Role: We are seeking a creative and collaborative scientist and technologist to lead the development and optimization of bioinformatics systems to support the discovery and design of novel biologics. Experience in establishing next-generation sequencing technologies and bioinformatics tools related to biotherapeutics is desired. Experience with protein design using computational tools is also desired. This role provides the opportunity to work on multidisciplinary teams to solve challenging problems in the discovery and design of new biologics. Responsibilities: • Develop bioinformatics tools for analysis of next-generation sequencing (NGS) data sets that integrate with Benchling to facilitate discovery and design of protein therapeutics with desired binding characteristics and biological activity. • Leverage bioinformatics to expand the throughput of antibody screening workflows, including curation, analysis and interpretation of large data sets, and process automation. • Work with a high-functioning team focused on identification, characterization, and optimization of antibodies and related biologics in support of Tentarix’s pipeline of therapeutic programs. • Lead the design and optimization of our data model in Benchling to continuously improve data entry, organization, and visibility. • Present strategies, approaches, results, and conclusions effectively within the Antibody Engineering Team and other functional teams to enhance efficiencies and feedback across our research group. • Establish and strengthen the interface between teams, including streamlining communication, operations, and data systems. Basic Qualifications • Expertise in setting up a GIT repository and working with a collaborative programming environment. • Expertise in Python, C++, or other programming language. • Experience designing and building custom computer hardware for big data/machine learning analysis • Goal oriented, organized, capable of prioritizing across multiple projects, and able to execute to timelines that meet company goals. • A track record of innovation, strong problem solving and troubleshooting skills, and ability to contribute constructively to discussions. • Thrive in a cross functional team environment and committed to positively contributing to Tentarix supportive small company culture. • Excellent verbal and written communication skills. • Confident, independent and decisive; proactive and results-oriented with high performance standards. • BS/MS degree in biochemistry, biophysics, computer science, engineering, or related field and 5+ years’ experience in bioinformatics Or PhD in biochemistry, biophysics, computer science, engineering, or related field and 2+ years of academic / industry experience in bioinformatics Preferred Qualifications • Demonstrated experience in development of bioinformatics tools for analysis of next-generation sequencing data. • Experience with SQL and Benchling, or other laboratory information management systems is desired. • In-depth understanding of antibody sequence, structure, and binding kinetics is beneficial. • Expertise with protein design using computational tools is beneficial. • Experience with machine learning and AI-based approaches for biotherapeutic design and optimization is beneficial. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets, experience, training, licensure, certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Tentarix, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,000 – 145,000 + bonus target + benefits + equity. Our employees are the Company’s most valuable asset, so we offerattractive compensation and benefits packages to retain the best in the field.Tentarix is committed to equal opportunity in the terms and conditions ofemployment for all employees and job applicants without regard to race, color,religion, sex, sexual orientation, age, gender identity or gender expression,national origin, disability or veteran status. Applicants must be currently authorized to work in the United States on a full-time basis. Tentarix Biotherapeutics, Inc. also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. We are an E-Verify employer.

Stanford Center for Genomics and Personalized Medicine (SCGPM), situated in the heart of SF Bay Area, has an excellent opportunity available for a motivated bioinformatician. This position within our bioinformatics core team will support bioinformatics consulting services for faculty and researchers via the Genetics Bioinformatics Service Center (GBSC). For examples of the projects we support, please visit https://med.stanford.edu/gbsc/services/baas.html. The ideal person for this position is a bioinformatician who lives and breathes NGS data analysis and is passionate about learning. The successful candidate will have deep knowledge of NGS technologies, quality analysis for read alignment and variant calling (secondary analysis), and a large suite of analytical methods for discovering genetic components of human diseases (tertiary analysis). Responsibilities will include: • Meeting faculty members and researchers to evaluate their bioinformatics needs. • Conducting data analysis that meets quality standards of major peer-reviewed publications. • Providing faculty members and researchers with data, analysis protocols, figures, method descriptions, code, documentation, support, and anything else that might be needed to meet project goals. • Managing time and projects efficiently to support the analysis needs of multiple labs simultaneously. • Establishing, refining, and standardizing the process for bioinformatics analysis and validation. Benchmark-driven development is expected, e.g., use of PrecisionFDA/Genome-¬in-¬a-¬Bottle for DNA¬Seq analysis, or the use of well-characterized data or simulated data where commonly-used reference datasets do not exist. • Presenting bioinformatics efforts and best-practices at conferences and symposia. Peer-reviewed publications with and outside of client laboratories are strongly encouraged. • Delivering quick proof-¬of¬-concept feedback on new methods and protocols. • Providing training to researchers to allow them to learn and use new techniques for analysis. • Staying abreast with bioinformatics best-practices (e.g., large consortium Data Coordination Centers like ENCODE and HMP) as well as cutting¬-edge data analysis methods from recent publications. • Meeting 3rd party developers, service providers, and consortium members to stay on top of development of new tools, solutions, and practices in the field. • Observing the highest standards of customer interaction, including maintaining confidentiality when required. The GBSC bioinformatics service team is supported by a group of expert software developers and biomedical engineers who are proficient in a variety of development environments, including large HPC clusters and multiple cloud platforms (e.g., DNAnexus, Google Cloud Platform). Members of this team are expected to participate in activities that are important to the center’s mission, including participation in conferences, arranging seminars, and attending annual retreats and other academic events as necessary. We recommend that interested candidates explore the NIH RePORTER website (https://projectreporter.nih.gov/reporter.cfm : search for organization “Stanford”, text search “Sequencing”, among other keywords) to see the range of basic science research Stanford investigators are engaged in. Our bioinformatics service strives to support the entire range. REQUIRED QUALIFICATIONS: • PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field. • Ability to define and solve logical problems for highly technical applications. • Deep understanding of next¬-generation sequencing data and bioinformatics algorithms. While Illumina sequencers are the most common data source, it is not unusual to see 10xGenomics or PacBio data. • Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing. Multi¬omics analysis is often needed. • Proven experience working in a Linux cluster environment. Experience in cloud environments is also a plus. • Ability to select, adapt, and effectively use a variety of programming methods. Strong programming skills in Python and R are expected. Familiarity with C, C++, Java. and Perl are useful. Best practices in coding, including techniques of reproducible and transparent science (github, DockerHub, markdown documentation) will be required. • Excellent verbal and written communication skills with both technical and non¬technical clients. • Stanford offers a supporting learning environment and ability to learn rapidly is a critical need. Our service supports a large and growing customer base and Stanford researchers are engaged in innovative basic science research. We expect our team members to ramp up rapidly to support this innovation. • Strong work ethics are critical in this role, since the individual will be responsible for the highest quality scientific data analysis. DESIRED QUALIFICATIONS: • Postdoctoral training in one of the disciplines listed above is highly desirable for this position. • While a wide background in NGS bioinformatics will be useful, deep experience with DNA¬-seq and/or RNA-seq data is strongly preferred, including whole genome, whole exome, SNP¬-array, tumor/¬normal. • Strong background in one or more of the following: pedigree analysis, machine learning, statistical methods, variant annotation and interpretation, Genome Wide Association Studies (GWAS). • Knowledge of general principles for regulatory compliance, including understanding of the NIH Security Best Practices for Controlled ¬Access Data Subject to the NIH Genomic Data Sharing (GDS) Policy (aka dbGaP compliance). • The core team has developed extensive set of data analysis pipelines on the local cluster and Cloud. We expect reuse of these pipelines. Candidate is also expected to add to this analysis library by developing custom/novel pipelines. • Experience working in academic environments. • Experience with mentorship or project management. Contact information: Please direct all applicants to http://stanfordcareers.stanford.edu/ Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions. The expected pay range for this position is $90,000 to $117,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy.

Position Description: Empirico, a biotechnology company that combines unmatched expertise in human genetics-driven target discovery with world-class capabilities in siRNA drug discovery, is looking for a talented data scientist experienced in human genetics and bioinformatics who is interested in applying these skills towards interpreting large scale human genetics data for the purpose of therapeutic target discovery. This is an excellent opportunity for a highly-motivated, creative data scientist to be a vital member of a team of experts dedicated to identifying new therapeutic targets and translating those insights into drug discovery and development programs. Responsibilities: • Your responsibilities will primarily consist of performing analyses and building robust computational pipelines and tools critical to Empirico’s target discovery efforts. You will be expected to – • Collaborate closely with a multidisciplinary team consisting of human geneticists, biologists, bioinformatics scientists and software engineers, and use your data analysis skills to gain insights from massive genetic datasets • Work independently and as part of a team to complete projects related to: • Deploying robust, scalable data analysis pipelines, software tools, and web applications to support target discovery – including innovative methods to analyze genetic and phenotypic data • Implementing cutting-edge analytical methods and algorithms (both internally-developed and those described in the literature) • Integrating, analyzing and visualizing large, complex data sets to extract information useful to our target discovery efforts • Perform focused genetic analyses to gain insights into novel target biology and clearly communicate these analyses to Empirico colleagues • Perform analyses to address critical platform/application QC Requirements: • This position requires a MS or PhD in bioinformatics or a related discipline (e.g. computer science) • Core background MUST be in data science or bioinformatics; this position is NOT for scientists with a primarily wet-lab background • Strong skills in at least one programming language (preferably Python) • Familiarity with Linux command-line based tools and bash scripting • Experience using HPC/cloud computing environments (AWS, Azure, GCP) • Demonstrated experience processing, analyzing, and visualizing genetic datasets to make scientific insights • A strong understanding of applied statistical methods and the principles of statistical genetics • Experience working with RNA-seq (or scRNA-seq), GWAS data, and other omics data types a plus • Experience working with UK Biobank data or other large-scale biomedical databases a plus • Full stack development experience a plus, but not expected • Comfortable with version control systems such as Git • Demonstrated ability for writing readable, testable, and SOLID code • Applicants must have authorization to work in the U.S. The estimated base salary range for this role is $80,000 to $150,000. Individual compensation decisions will be based on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. We offer a wide range of benefits including a retirement savings plan (with company match), paid vacation, holidays, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans. About Empirico: Empirico is a biotechnology company that discovers and develops novel medicines designed to mimic naturally-occurring genetic variants that confer beneficial effects on health and disease. Empirico’s two foundational technology platforms – the Precision Insights Platform™ for genetically-validated target discovery, and the siRCH™ platform for the discovery and development of siRNA medicines – are used separately and in tandem to enable Empirico and our collaborators from the discovery and validation of novel targets to clinically-viable therapeutics. Empirico’s exceptional internal capabilities, augmented by those of its partners, are driving the advancement of a growing and differentiated pipeline of wholly-owned and partnered programs. Empirico is headquartered in San Diego, CA with a major second site in Madison, WI. We’re striving to build a strong culture of inclusivity, transparency and collaboration at Empirico, where our diverse and equitable workforce is empowered to contribute to our mission. We always seek the best candidate for the position and encourage you to apply even if your experience or qualifications don’t match up exactly with the job description. Empirico is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law. To All Agencies: Please do not contact any employee of Empirico about this position. All resumes submitted by agencies to any employee of Empirico via-email or in any form and by any method will be deemed the sole property of Empirico, unless such agencies were engaged by Empirico for this position and a valid agreement is in place.