Bioinformatics Jobs

• Job Type: Officer of Administration • Regular/Temporary: Regular • Hours Per Week: 35 • Salary Range: $66,300 - $70,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are seeking a dynamic and motivated individual to join our research team in exploring genetic and molecular variations within precision medicine. At the Center for Precision Medicine and Genomics (CPMG), our mission is to enhance disease prevention, diagnosis, and treatment through cutting-edge research. We are dedicated to integrating personalized medicine into clinical practice and establishing genetic medicine as a standard of care. The ideal candidate will be an integral part of a cohesive team composed of clinicians, research scientists, and genetic counselors, all working collaboratively on transformative projects. This role offers an engaging, interdisciplinary environment with opportunities to learn the fundamentals of genomics and precision medicine. Responsibilities Under the close supervision of the Bioinformatics Lead and the Director of CPMG, the Bioinformatics Analyst will: • Collaborate with faculty and a team of genome analysts to analyze and interpret sequence data. • Support research studies through bioinformatics and statistical analyses, including the implementation of computational models, database management, and the use of various statistical packages. • Contribute to the development of new platforms and solutions for large-scale integrative analysis of genomic data. • Assist in the evaluation and implementation of new pipelines and methods for analyzing next-generation sequencing (NGS) datasets. • Perform other related duties as necessary. Minimum Qualifications • Bachelor’s degree in a STEM discipline or equivalent education, training, and experience, plus two years of related experience. • Demonstrated problem-solving skills. • Ability to work effectively within a team. • Strong organizational and communication skills. • Willingness and initiative to learn and adopt novel tools, methods, and technologies in a rapidly evolving field. Preferred Qualifications • Strong programming skills (e.g., Python, Java, R) and experience in *NIX environments. • Solid understanding of genetics, bioinformatics, and statistics as applied to NGS datasets. • Experience in analyzing large NGS datasets. • Proven problem-solving abilities and strong organizational and communication skills, with a desire and capability to work effectively in a team environment. Other Requirements • Successful completion of applicable compliance and systems training requirements. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

The Molecular Profiling and Data Science Department is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative working environment. You will participate in original studies that span from basic research to translation studies, directly impacting the lives of patients. You will also have the opportunity to develop novel computational methods from internal and external big data resources. You will join a diverse and inspiring team which cultivates discussion across scientists of differing backgrounds at the exciting intersection of multi-omics, technology development, machine learning, and immuno-oncology. We work closely with biological researchers from different scientific functions, especially the departments of Oncology, Immuno-Oncology, and Early Clinical Development to address critical scientific questions. In this role, a typical day might include the following: • Lead computational efforts in the Immuno-Oncology (IO) field by developing or applying cutting-edge methods from bulk RNA sequencing, single cell multi-omics, spatial transcriptomics and other sequencing technologies. • Work in concert with oncology pre-clinical and clinical teams to design and analyze multi-omics sequencing experiments for target identification, target advancement, biomarker discovery, and clinical profiling • Prepare clear, concise presentations for collaborators and senior management. • Publish and present novel findings in peer-reviewed journals and conferences. • Implement and develop analysis pipelines using cutting-edge algorithms and statistically sound methodologies. This job might be for you if: • You are passionate about understanding and utilizing efficient computational techniques to address biological questions. • Bring innovative thinking to multi-omics data analysis. • Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward within Regeneron. • Can effectively communicate with collaborators of various backgrounds. • Value teamwork and team excellence. To be considered for this role, you must: • Be an enthusiastic and motivated scientist who values independent research in an open and collaborative working environment • PHD 0-2 years experience • MS -4+ years experience Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries’ specific benefits, please speak to your recruiter. Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location. 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) $93,900.00 - $153,300.00

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Biologist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Biology team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging biology problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position • You’ll be able to choose which projects you want to work on • You can work on your own schedule • Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities: • Give AI chatbots complex biology questions and evaluate their outputs • Evaluate the quality produced by AI models for correctness and performance Qualifications: • Fluency in English (native or bilingual level) • Detail-oriented • Understanding of cell biology, genetics, biochemistry, and experimental methods • A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. #bio

Organization Overview The Laboratory of Chemical Immunology and Proteomics applies synthetic chemistry, chemical biology, and proteomics methods toward the goals of discovering and characterizing (a) novel selective chemical probes that perturb the functions of key proteins regulating immunological and neuroimmunological processes; (b) new mechanisms for small molecule-induced protein degradation; and, more broadly, (c) the pharmacological landscape and signal transduction pathways in immune and neuroimmunological disorders. By developing and applying innovative chemical proteomic profiling technologies, we aim to enrich our understanding of the molecular differences between pathologic and physiologic states in immune cells and cells of the nervous system and to leverage them from a pharmacological perspective for the development of new therapies that not only target specific immune cell subtypes, but also the defined activation states of these cells. Please see www.vinogradovalab.com for more information. Overview We seek a highly motivated Bioinformatics Assistant to join the Laboratory of Chemical Immunology and Proteomics. Responsibilities Responsibilities include: • Facilitating proteomics and genomics workflows for data processing and analysis • The development and application of data analysis and visualization tools Qualifications REQUIRED QUALIFICATIONS: • Bachelor’s degree in Computational Biology, Computer Science, Bioinformatics, Biostatistics, Mathematics, or related field • At least one year of work experience in large scale biological data analysis (Proteomics and NGS - preferred) PREFERRED QUALIFICATIONS: • Proficiency in Python, and other relevant computer languages, with working knowledge of statistical methods and data analysis methods • Must be able to work independently as well as part of a team in a fast-paced, highly collaborative environment • Strong organizational, record-keeping, and interpersonal skills • Excellent critical thinking, and analytical skills The Rockefeller University is an equal opportunity employer – veterans/individuals with disabilities. Qualified applicants will receive consideration for employment without regard to characteristics protected by applicable local, state or federal law, including but not limited to disability and protected veteran status. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $50,000.00/Yr. Compensation Range: Max USD $56,000.00/Yr.

Mercor is hiring a Bioinformatics Researcher on behalf of a leading AI lab. In this role, you’ll **build reproducible pipelines for genomics and proteomics data**, applying machine learning and statistical methods to sequence, expression, or imaging datasets. You’ll surface meaningful biological signals that drive scientific discovery and AI-powered biological research. This position is ideal for candidates at the intersection of biology, data science, and machine learning. • * * ### **You’re a great fit if you:** - Have a background in **bioinformatics, computational biology, or related fields**. - Are proficient in **Python and R**, with libraries like **pandas, NumPy, SciPy, and scikit-learn**. - Have hands-on experience with **Biopython** and formats like **FASTA and VCF**. - Are skilled in building **reproducible pipelines** for large-scale biological data. - Understand **genomics, proteomics, and molecular biology datasets**. - Have experience with **statistical modeling and ML methods** for biological data. - Use **Jupyter** notebooks or similar tools for experimentation and collaboration. - Care about bridging **biology, computation, and AI research**. • * * ### **Primary Goal of This Role** To design and implement reproducible pipelines for genomics, proteomics, and imaging datasets, applying ML and statistics to uncover biological insights. • * * ### **What You’ll Do** - Build and maintain **pipelines** for genomics and proteomics datasets. - Apply **machine learning and statistical models** to biological sequence and expression data. - Use **Biopython and scikit-learn** to extract meaningful biological signals. - Work with **FASTA, VCF, and related data formats** in large-scale pipelines. - Collaborate with AI researchers and biologists to integrate bioinformatics into research. - Document workflows to ensure **reproducibility and transparency** in biological analysis. • * * ### **Why This Role Is Exciting** - You’ll drive discovery at the **intersection of AI and biology**. - You’ll apply **ML and statistical tools** to cutting-edge biological datasets. - You’ll help unlock insights in **genomics, proteomics, and imaging data**. - You’ll build the foundation for **AI-powered breakthroughs in life sciences**. • * * ### **Pay & Work Structure** - Weekly Bonus of **$500–$1000 USD** per 5 tasks.

Job Description The Bioinformatics Research Scientist is responsible for designing, developing, improving, modifying, and operating data analysis pipelines. Manages projects and coordinates other efforts related to analysis and infrastructure as directed. The lab of Jeremy Chase Crawford is seeking a highly skilled bioinformatician to lead the computational analysis of next-generation immune repertoire sequencing data. This position will work at the cross-section of immunology and computational biology to decipher T-cell specificity in the context of vaccine responses (e.g., SARS-CoV-2) and pediatric immune development. The successful candidate will be responsible for developing robust automated pipelines for novel assays-specifically TIRTLseq and 5'RACE-to track clonal expansion, infer HLA genotypes, and map TCRs to their cognate epitopes. Key Responsibilities • Pipeline Development & Automation: • Develop and maintain robust pipelines to automate the parsing, quality control, and characterization of human sequencing data. • Create automated reporting tools to characterize clonal expansion across longitudinal samples and assess sensitivity differences between assay platforms. • Advanced TCR Repertoire Analysis: • Perform paired chain (alpha/beta) analysis to infer patient HLA genotypes and "de-orphan" single-chain TCRs from earlier time points. • Utilize network analysis approaches to infer the epitopes recognized by expanding TCR clones. • Database Management: • Create and maintain databases to track subject and sample metadata, ensuring data integrity for any possible audits. • Merge wetlab and computational data sources (LIMS, Spreadsheets, devices, bioinformatic pipelines etc.) to create up-to-date reports in PoweBI. • Design and optimize a static and iteratively updated TCR/epitope matching database to predict antigen specificity. • Evaluate data for quality assurance and mine relevant bioinformatics databases to support wet-lab validation. • Collaboration & Communication: • Work closely with wet-lab scientists to design experiments (e.g., defining sample exclusion criteria based on expansion evidence) and interpret complex immunological data. • Assist in the evaluation of products and solutions pertaining to St. Jude's technology needs (e.g., cloud computing integration). Minimum Qualifications • For Senior Bioinformatics Analyst: • Bachelor's degree with 2+ years of relevant post-degree work experience (or Master's degree with 0-2 years experience) in Bioinformatics, Computational Biology, or a related field. • Experience in at least one programming language (Python preferred) and statistical package (R). • For Bioinformatics Research Scientist: • Bachelor's degree with 4+ years experience, Master's with 2+ years, or PhD with no work experience. • Demonstrated ability to independently perform advanced statistical analysis and algorithm implementation. Preferred Skills for this Project • TCR Specificity: Experience with immune repertoire tools (e.g., MiXCR, VDJtools, TCRdist) and handling paired-chain sequencing data. • Structural Biology/Inference: Familiarity with HLA inference algorithms and epitope prediction models. • Cloud & HPC: Experience interacting with High-Performance Computing clusters (LSF) and strong experience with environment management using Conda/Mamba to ensure reproducible analysis pipelines. • Database and Reporting: Experience working with relational databases (MSSQL/MySql/PostgreSQL) and reporting tools (PowerBI/Tableau). 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 6+ 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 4+ years of relevant post-degree experience (OR) PhD with no experience. • 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 $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist (Immunology & TCR Repertoire) - Jeremy Chase Crawford Lab. Explore our exceptional benefits ! 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.

A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center. We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data, from cancer patient cohorts and interpretation. The candidate will work closely with our experienced clinician collaborators at MD Anderson, contributing to revealing the underlying mechanism behind the response heterogeneity of cancer and developing novel therapeutic targets. LEARNING OBJECTIVES • Analyze next-generation sequencing (NGS) data, including: • Bulk DNA-seq and RNA-seq • Single-cell RNA-seq • Spatial transcriptomics • Develop computational and statistical methods for multi-omic and single-cell data • Integrate diverse molecular data to study tumor evolution and therapeutic response • Collaborate with MD Anderson clinicians and basic scientists • Investigate mechanisms of tumor heterogeneity and resistance • Mentor graduate and undergraduate students and rotation trainees • Present research at scientific conferences and contribute to peer-reviewed publications ELIGIBILITY REQUIREMENTS Required: • Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field • Proficiency in R or Python • Minimum one year of experience in computational biology or cancer genomics • Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) • At least one first-author peer-reviewed publication • Strong communication and scientific writing skills Preferred: • Hands-on experience with single-cell and spatial transcriptomic analysis • Familiarity with multi-omic data integration workflows • Cancer biology background or translational research experience • Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: • Independent, proactive, and scientifically curious • Detail-oriented and committed to reproducible research • Strong team player with mentoring and collaborative experience • Critical thinker with strong problem-solving abilities ADDITIONAL APPLICATION INFORMATION Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu/~wwang7. POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. The Center for Human Genetics & Genomics at the NYU Grossman School of Medicine invites applications for the position of Human Genetics & Bioinformatics Analyst. This individual will be responsible for performing human genetic and genomic analysis, including: (1) design of family-based and population-based genetic studies; (2) genome-wide association studies (GWAS); (3) whole exome and whole genome sequence analysis and interpretation; (4) instruction on the use of relevant human genetics databases. The successful individual is expected to have a MS degree and experience in the areas of bioinformatics, population genetics and human disease analysis. The individual should have demonstrated capabilities in computational collaboration and communication. Job Responsibilities: • Initiates, interprets, organizes, executes, and coordinates research assignments critical to the project's mission. • Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope. • Ensures timely and accurate completion of research projects. • May be responsible for research/ lab quality control and compliance. • May develop protocols for the collection and quality of research data. • Develops research techniques and methodologies. • May coordinate the activity and experimental design between various labs, scientific staff, and collaborators. Identifies and resolves technical problems. • Perform other duties as assigned. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines Experience in Unix/Linux systems including HPC environments Scripting languages: Python or Perl Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $90,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Bioinformatics Analyst II provide highly specialized consulting and data analysis services to researchers at the Hutch and across the wider Fred Hutch/UW Cancer Consortium. This position requires the ability to work independently, manage multiple overlapping demands, and communicate effectively with faculty, and research staff on a wide range of topics in biology, and data science. The Loeb lab at the Fred Hutch has an opening for a temporary and part time computational scientist with experience in spatial and genomic data analysis. This position will work with members of the Laboratory of Dr. Keith Loeb and Dr. Nick Petty in the division of Translational Sciences and Therapeutics to help analysis data relating to the characterization of donor cells that have engrafted into the brains of stem cell transplant recipients. Prior studies in model organisms and humans have shown that a distinct population of macrophages enter and engraft into the brain following a stem cell transplant. Studies in model organism have shown that these cells are similar to endogenous microglia and have the potential to be used in cell and genetic therapy for a number of metabolic and neurodegenerative conditions. The position centers on the analysis and integration of spatial multi-omics datasets, particularly those generated using 10x Genomics Xenium in situ transcriptomics, single cell/single nuclei RNA and ATAC sequencing, RNA in situ hybridization studies. Responsibilities • Process, analyze, and interpret spatial transcriptomics and spatial proteomics data focusing on the identification and characterization of rare donor derived cells. • Develop and implement computational workflows for image alignment, cell segmentation, gene/protein quantification, clustering, and spatial domain detection. • Compare the transcriptomics of donor derived cells to endogenous microglia to determine unique aspects of the donor derived cells and predict the capacity of the donor derived cell to functionally replace endogenous microglia. • Develop methods to analyze the spatial data to determine the cellular neighborhood of the donor derived cells and how they influence adjacent cells. • Collaborate with lab members and collaborators on study design, data interpretation, and presentation of results. A key aspect of the position is to help educate others in the group to facilitate future studies. • Generate high-quality visualizations and figures for internal reports, manuscripts, and grant submissions. • Maintain documentation, reproducibility, and version control of analysis pipelines (GitHub, Jupyter/R Markdown, Snakemake/Nextflow). • Participate in lab meetings, contribute to collaborative problem solving, and stay current with emerging computational methods in spatial and single-cell biology. Qualifications MINIMUM QUALIFICATIONS: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field with at least three years’ direct experience in computational analysis of large sequence-based molecular data sets. • Direct experience must include best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, epigenetic profiling, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq). • Effective use of shell scripting and significant fluency in R and Python 3 are essential. • Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. • Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc). PREFERRED QUALIFICATIONS: • Familiarity with workflow and scheduling software (e.g. Slurm). • Excellent written and verbal communication skills are absolutely required. The hourly pay range for this position is from $38.69 to $58.02 and pay offered will be based on experience and qualifications. This position is not eligible for H-1B sponsorship at this time. Fred Hutchinson Cancer Center offers employees access to a retirement savings plan, an employee assistance program, paid sick leave (1 hour for every 30 hours worked), and prorated paid holidays (up to 11 days per year). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.