Bioinformatics Jobs

POSITION SUMMARY We are seeking a full-time Senior Bioinformatics and Data Scientist to join our team at the Buck Institute for Research on Aging to work on projects in academia with a close-knit team, collaborate with experts in the field of aging, and participate in a nationwide effort to further the field. • The Buck Institute for Research on Aging’s Bioinformatics Core is a collaborative group of data analysis scientists who pool their knowledge and skills to provide cutting-edge services for internal and external researchers. Members cross-train to improve their data analysis skills and career development under Dr. David Furman's mentorship. • The Program Projects Grant (PPG) “Cellular senescence and cell fate/interactions as drivers of Alzheimer's and age-related dementias”: focuses on how age-related changes in both neurons and non-neuronal brain cells can drive these pathologies, with the promise of developing effective interventions. • The NIH-directed SenNet Tissue Mapping Center located at the Buck Institute for “Senescent cell mapping, identification, and validation for human somatic and reproductive tissues”: is part of a cross-consortium program to study senescent cells that play positive and negative roles in biological processes. As part of this Center, our Data Analysis Core is the nucleating facility between the Biospecimen Core, Administrative Core, and Bioanalysis Core of the U54 NIH longitudinal study of cellular senescence. • The “Biomarkers of Aging in Human Cohorts Project” is a collaboration between multiple Buck Institute Principal Investigators to investigate biomarkers of aging and vaccine response in human cohorts. The Furman Lab member will help analyze metabolomics and proteomics data to consolidate vaccine response biomarkers. KEY RESPONSIBILITIES • Perform data analysis as part of the Bioinformatics Core including: • Omics Analysis (transcriptomics (single-cell and bulk), proteomics, metabolomics) • Simple/Multiple Linear Regression • Parametric and Non-parametric Statistics • Classification Methods (random forest, SVM) • Neural Networks • Computer vision (Feature extraction) • Biological Aging Calculations (Omics Clocks) • Candidate gene studies and GWAS • Enrichment Analysis • Dimensionality Reduction • Drug re-purpose • Integrative Multi-omics • Analyze and curate data from the SenNet project: • Interact and coordinate between groups to ensure timely collection of data. • Curate and upload data samples to the central repository. • Review and improve Standard Operating Procedures (SOPs) for data transfer and management. • Attend meetings and collaborate with NIH SenNet groups to improve upon current systems. • Analyze and curate data from the PPG project: • Interact and coordinate between groups to ensure timely collection of data. • Data curation and analysis • Collaborate with staff members, research scientists, and principal investigators. • Grant Writing • Journal Article Writing • Figure Creation QUALIFICATIONS Required Education & Experience • PhD degree in Computational Biology, Bioinformatics, or Data Science • Minimum of 2 years professional experience in a biological field • Proficient in R programming, Python, and Bash scripting Other Skills • Knowledge and experience developing and running Bioinformatics workflows • Outstanding analytical, mathematical, and creative problem-solving skills • Excellent listening, interpersonal, written, and oral communication skills • Logical and efficient, with keen attention to detail • Highly self-motivated and directed; works well independently and as a team • Ability to effectively prioritize and execute tasks • Experience in Computer Vision Preferred • Experience with Human data COMPENSATION & BENEFITS • Competitive salary ($95,000 - $105,000) commensurate with experience • Exciting, collaborative work environment at the forefront of science using state-of-the-art techniques • Generous benefits package including health insurance, paid parental leave, generous PTO and 401(k) with 5% employer match & student debt repayment • Work visa sponsorship available for qualified candidates ABOUT US Our success will ultimately change healthcare. At the Buck, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. We are an independent, non-profit institution located in Marin County, CA, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, cancer, macular degeneration, heart disease, and diabetes—the Buck seeks to help people live better longer. TO APPLY Interested candidates should click the Apply button to complete the online application. Please upload both your CV and a document that includes a brief statement of your interests plus the names/contact information for 3 references.

POSITION SUMMARY We are seeking a full-time Senior Bioinformatics and Data Scientist to join our team at the Buck Institute for Research on Aging to work on projects in academia with a close-knit team, collaborate with experts in the field of aging, and participate in a nationwide effort to further the field. • The Buck Institute for Research on Aging’s Bioinformatics Core is a collaborative group of data analysis scientists who pool their knowledge and skills to provide cutting-edge services for internal and external researchers. Members cross-train to improve their data analysis skills and career development under Dr. David Furman's mentorship. • The Program Projects Grant (PPG) “Cellular senescence and cell fate/interactions as drivers of Alzheimer's and age-related dementias”: focuses on how age-related changes in both neurons and non-neuronal brain cells can drive these pathologies, with the promise of developing effective interventions. • The NIH-directed SenNet Tissue Mapping Center located at the Buck Institute for “Senescent cell mapping, identification, and validation for human somatic and reproductive tissues”: is part of a cross-consortium program to study senescent cells that play positive and negative roles in biological processes. As part of this Center, our Data Analysis Core is the nucleating facility between the Biospecimen Core, Administrative Core, and Bioanalysis Core of the U54 NIH longitudinal study of cellular senescence. • The “Biomarkers of Aging in Human Cohorts Project” is a collaboration between multiple Buck Institute Principal Investigators to investigate biomarkers of aging and vaccine response in human cohorts. The Furman Lab member will help analyze metabolomics and proteomics data to consolidate vaccine response biomarkers. KEY RESPONSIBILITIES • Perform data analysis as part of the Bioinformatics Core including: • Omics Analysis (transcriptomics (single-cell and bulk), proteomics, metabolomics) • Simple/Multiple Linear Regression • Parametric and Non-parametric Statistics • Classification Methods (random forest, SVM) • Neural Networks • Computer vision (Feature extraction) • Biological Aging Calculations (Omics Clocks) • Candidate gene studies and GWAS • Enrichment Analysis • Dimensionality Reduction • Drug re-purpose • Integrative Multi-omics • Analyze and curate data from the SenNet project: • Interact and coordinate between groups to ensure timely collection of data. • Curate and upload data samples to the central repository. • Review and improve Standard Operating Procedures (SOPs) for data transfer and management. • Attend meetings and collaborate with NIH SenNet groups to improve upon current systems. • Analyze and curate data from the PPG project: • Interact and coordinate between groups to ensure timely collection of data. • Data curation and analysis • Collaborate with staff members, research scientists, and principal investigators. • Grant Writing • Journal Article Writing • Figure Creation QUALIFICATIONS Required Education & Experience • PhD degree in Computational Biology, Bioinformatics, or Data Science • Minimum of 2 years professional experience in a biological field • Proficient in R programming, Python, and Bash scripting Other Skills • Knowledge and experience developing and running Bioinformatics workflows • Outstanding analytical, mathematical, and creative problem-solving skills • Excellent listening, interpersonal, written, and oral communication skills • Logical and efficient, with keen attention to detail • Highly self-motivated and directed; works well independently and as a team • Ability to effectively prioritize and execute tasks • Experience in Computer Vision Preferred • Experience with Human data COMPENSATION & BENEFITS • Competitive salary ($95,000 - $105,000) commensurate with experience • Exciting, collaborative work environment at the forefront of science using state-of-the-art techniques • Generous benefits package including health insurance, paid parental leave, generous PTO and 401(k) with 5% employer match & student debt repayment • Work visa sponsorship available for qualified candidates ABOUT US Our success will ultimately change healthcare. At the Buck, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. We are an independent, non-profit institution located in Marin County, CA, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as the pioneer and leader in efforts to target aging—the number one risk factor for diseases including Alzheimer’s, Parkinson’s, cancer, macular degeneration, heart disease, and diabetes—the Buck seeks to help people live better longer. TO APPLY Interested candidates should click the Apply button to complete the online application. Please upload both your CV and a document that includes a brief statement of your interests plus the names/contact information for 3 references.

Caribou Biosciences is a leading clinical-stage CRISPR genome-editing biopharmaceutical company dedicated to developing transformative therapies for patients with devastating diseases. Our next-generation genome-editing technology enables superior precision to develop cell therapies that are armored to potentially improve antitumor activity. We believe the future of cell therapy is off-the-shelf, and we are advancing our pipeline of off-the-shelf, or allogeneic, cell therapies from our CAR-T platforms as readily available treatments for patients with hematologic malignancies autoimmune disease. Members of the Caribou herd open their minds to new ideas and welcome diverse perspectives. We proudly assert that teams do their best work when their members are personally engaged, their ideas are taken seriously, and contributions are recognized. Members of the herd work from our headquarters in Berkeley, California, or remotely. We are seeking a Bioinformatics Intern to support development of our cutting-edge cell therapies. This role offers hands-on experience working in a team environment to design and improve bioinformatics tools that guide our research efforts and improve outcomes for patients. The on-site position reports to a Principal Bioinformatics Scientist. Depending upon the applicant's qualifications, projects include: • Implement AI/ML models to predict protein interactions relevant to cell therapy • Optimize CRISPR design using ML-based approaches to enhance editing efficiency and specificity • Design and benchmark bioinformatics algorithms for genomic data analysis • Analyze single-cell/bulk RNA-seq using short and long-read sequencing to uncover novel insights • Build visualization platforms for R&D and translational applications using internal and public databases • Work with cross-functional teams, including scientists, bioinformaticians, and information technology, to translate computational models into actionable insights • Contribute to research reports, presentations, and publications Preferred Qualifications • Currently pursuing (or recently completed) a Bachelors, Master's or Ph.D. in Biology, Bioinformatics, Computational Biology, Machine Learning/AI, or a related field • Experience with Python or R for data analysis and modeling • Foundation in statistics and biological data analysis • Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) • Knowledge of CRISPR editing technologies • Familiarity with cloud computing (AWS) and workflow automation (Nextflow) • Previous research experience in cell therapy, immunology, or synthetic biology What You'll Gain • Hands-on experience at the intersection of bioinformatics, AI/ML, and cell therapy • Mentorship from leading experts in computational biology and genomic engineering • Exposure to real-world therapeutic development in a cutting-edge biotech environment • The opportunity to contribute to high-impact publications and patents Responsibilities include: • Development of bioinformatics algorithms for donor optimization • Development of robust clinical bioinformatic pipelines to generate automated, reproducible, verifiable results • Prepare high quality documentation to contribute to regulatory filings • Collaborate with an interdisciplinary group of bioinformaticians, data scientists, and engineers to translate research into clinically actionable insights • Occasionally support genomic pipeline development as needed • Leverage internal and external data sources (i.e. IPD-IMGT) to provide actionable data-driven decision making • Present, visualize and communicate scientific insights to internal stakeholders • Provide expertise and technical consultation for internal collaborations Qualifications: • Ph.D in Biology, Bioinformatics, Computational Biology, or a related discipline • Minimum 5 years of biotech industry experience (immuno-oncology preferred) • Proficient in at least one general purpose programming language (R or Python preferred) • Experience developing with workflow management software (e.g. Nextflow) • Cloud-based data science experience (e.g. AWS) • Experience in leveraging data science best practice tools: version control, collaborative analysis and documentation • Experience with common NGS data processing tools and statistical analysis • Knowledge of documentation procedures for clinical-grade software development • Strong communication skills to foster collaboration in cross-functional teams Compensation & Perks • Range for this Paid full-time internship is $26/hour with a 2-3-month duration • Professional development, networking, and mentorship opportunities • A chance to work alongside some of the brightest minds in biotech • Interns are responsible for their own housing and transportation Equal Opportunity Employer Caribou Biosciences is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where all employees feel valued, respected, and empowered We do not accept unsolicited resumes or candidate submissions from staffing agencies. Any resume submitted without a valid agreement in place will be considered unsolicited, and Caribou Biosciences will not be obligated to pay any referral or placement fee

Caribou Biosciences is a leading clinical-stage CRISPR genome-editing biopharmaceutical company dedicated to developing transformative therapies for patients with devastating diseases. Our next-generation genome-editing technology enables superior precision to develop cell therapies that are armored to potentially improve antitumor activity. We believe the future of cell therapy is off-the-shelf, and we are advancing our pipeline of off-the-shelf, or allogeneic, cell therapies from our CAR-T platforms as readily available treatments for patients with hematologic malignancies autoimmune disease. Members of the Caribou herd open their minds to new ideas and welcome diverse perspectives. We proudly assert that teams do their best work when their members are personally engaged, their ideas are taken seriously, and contributions are recognized. Members of the herd work from our headquarters in Berkeley, California, or remotely. We are seeking a Bioinformatics Intern to support development of our cutting-edge cell therapies. This role offers hands-on experience working in a team environment to design and improve bioinformatics tools that guide our research efforts and improve outcomes for patients. The on-site position reports to a Principal Bioinformatics Scientist. Depending upon the applicant's qualifications, projects include: • Implement AI/ML models to predict protein interactions relevant to cell therapy • Optimize CRISPR design using ML-based approaches to enhance editing efficiency and specificity • Design and benchmark bioinformatics algorithms for genomic data analysis • Analyze single-cell/bulk RNA-seq using short and long-read sequencing to uncover novel insights • Build visualization platforms for R&D and translational applications using internal and public databases • Work with cross-functional teams, including scientists, bioinformaticians, and information technology, to translate computational models into actionable insights • Contribute to research reports, presentations, and publications Preferred Qualifications • Currently pursuing (or recently completed) a Bachelors, Master's or Ph.D. in Biology, Bioinformatics, Computational Biology, Machine Learning/AI, or a related field • Experience with Python or R for data analysis and modeling • Foundation in statistics and biological data analysis • Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) • Knowledge of CRISPR editing technologies • Familiarity with cloud computing (AWS) and workflow automation (Nextflow) • Previous research experience in cell therapy, immunology, or synthetic biology What You'll Gain • Hands-on experience at the intersection of bioinformatics, AI/ML, and cell therapy • Mentorship from leading experts in computational biology and genomic engineering • Exposure to real-world therapeutic development in a cutting-edge biotech environment • The opportunity to contribute to high-impact publications and patents Responsibilities include: • Development of bioinformatics algorithms for donor optimization • Development of robust clinical bioinformatic pipelines to generate automated, reproducible, verifiable results • Prepare high quality documentation to contribute to regulatory filings • Collaborate with an interdisciplinary group of bioinformaticians, data scientists, and engineers to translate research into clinically actionable insights • Occasionally support genomic pipeline development as needed • Leverage internal and external data sources (i.e. IPD-IMGT) to provide actionable data-driven decision making • Present, visualize and communicate scientific insights to internal stakeholders • Provide expertise and technical consultation for internal collaborations Qualifications: • Ph.D in Biology, Bioinformatics, Computational Biology, or a related discipline • Minimum 5 years of biotech industry experience (immuno-oncology preferred) • Proficient in at least one general purpose programming language (R or Python preferred) • Experience developing with workflow management software (e.g. Nextflow) • Cloud-based data science experience (e.g. AWS) • Experience in leveraging data science best practice tools: version control, collaborative analysis and documentation • Experience with common NGS data processing tools and statistical analysis • Knowledge of documentation procedures for clinical-grade software development • Strong communication skills to foster collaboration in cross-functional teams Compensation & Perks • Range for this Paid full-time internship is $26/hour with a 2-3-month duration • Professional development, networking, and mentorship opportunities • A chance to work alongside some of the brightest minds in biotech • Interns are responsible for their own housing and transportation Equal Opportunity Employer Caribou Biosciences is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where all employees feel valued, respected, and empowered We do not accept unsolicited resumes or candidate submissions from staffing agencies. Any resume submitted without a valid agreement in place will be considered unsolicited, and Caribou Biosciences will not be obligated to pay any referral or placement fee

Principal Bioinformatics Scientist Bay Area, CA 155-165k base Company Overview: This mid-sized, stable, and continually growing biotech company is looking to add a senior-level scientist to their bioinformatics team. The Pitch: Join a well-established and stable biotech company that has consistently expanded its team even during economic downturns. On-Site Requirement: 3-4 days a week on-site work requirement in the Bay Area. The Role: Principal Bioinformatics Scientist As a Principal Scientist in Bioinformatics, you will act as a subject matter expert over data analysis focused around TCR/BCR immune profiling data. The Opportunity: We are looking for candidates who possess: • A Ph.D. in a relevant field. • Proficiency in Python within a Linux environment. • Experience in TCR/BCR sequencing • Wider experience in epigenetics is desirable as well • Strong cross-functional communication abilities. How to Apply: Apply at the link and we will reach out for next steps.

Principal Bioinformatics Scientist Bay Area, CA 155-165k base Company Overview: This mid-sized, stable, and continually growing biotech company is looking to add a senior-level scientist to their bioinformatics team. The Pitch: Join a well-established and stable biotech company that has consistently expanded its team even during economic downturns. On-Site Requirement: 3-4 days a week on-site work requirement in the Bay Area. The Role: Principal Bioinformatics Scientist As a Principal Scientist in Bioinformatics, you will act as a subject matter expert over data analysis focused around TCR/BCR immune profiling data. The Opportunity: We are looking for candidates who possess: • A Ph.D. in a relevant field. • Proficiency in Python within a Linux environment. • Experience in TCR/BCR sequencing • Wider experience in epigenetics is desirable as well • Strong cross-functional communication abilities. How to Apply: Apply at the link and we will reach out for next steps.

About Us Nkarta is a publicly traded (Nasdaq symbol NKTX), biotechnology company headquartered in South San Francisco focused on the discovery, development and manufacturing of off-the-shelf, natural killer (NK) cell therapies. Our near-term goal is to bring cell therapy out into the community setting, dramatically expanding access for patients. Founded in 2015 at the birthplace of biotechnology, Nkarta is a fast-growing, fast-moving, clinical-stage company that has built an extensive cell therapy manufacturing operation in anticipation of product commercialization. Our developmental pipeline of engineered NK cell therapies includes clinical programs in B-cell malignancies and autoimmune diseases. Complementing our broad research and development capabilities, Nkarta has also built an extensive cell therapy manufacturing operation. We recently built out a 23,000-square foot clinical good manufacturing practice, or cGMP, facility on-site at our primary corporate location in South San Francisco, California. Nkarta is a people-driven company looking for passionate, collaborative, driven team members galvanized by a paradigm-shifting opportunity to change the cell therapy landscape. Overview Nkarta is seeking a highly motivated, collaborative, detail-oriented Associated Director/Head of Bioinformatics to join our Translational Medicine team. The successful candidate will have experience in leading computational biology and/or bioinformatics teams in a biotech or pharmaceutical setting. This individual will work collaboratively within Translational Medicine and cross functionally to advance, support and execute on biomarker discovery, MOA investigations and data analysis from clinical samples to support translational and clinical strategies in early development. This role is ideal for an individual who is driven and passionate about cell therapy for the treatment of hard-to treat diseases. Responsibilities • Lead, manage and actively participate in the design, development and implementation of computational strategies and hands-on data analysis of clinical and biological datasets, contributing to go/no go decisions • Drive the innovation and oversee the application of advanced bioinformatics state of the art computational tools for analyzing different data types, including large-scale datasets, company metadata in databases, data lakes, Benchling, etc. • Lead and mentor a team of senior bioinformatics scientists, cultivating an environment that emphasizes continuous learning, innovation and career development • Collaborate with senior leadership to prioritize bioinformatics initiatives, delegation of resources, establishment of timelines, to align with company goals and objectives • Foster strong collaborative relationships with experimental scientists, internal and external stakeholders, including Translational, R&D, clinical and regulatory teams to support multidisciplinary projects. • Communicate effectively with internal teams and cross functionally during company presentations to both scientific and non-scientific stakeholders Qualifications • PhD in Biological sciences, Computational Biology, Biostatistics, Bioinformatics, Genomics, or a closely related discipline with 5+ years of industry experience. • Strong foundation in biological sciences with interest in immunology and applying bioinformatics tools and methods to enhance understanding of diseases • Deep-seated understanding and experience in modern statistical methodologies • Expertise in analyzing next generation sequencing data (e.g. bulk RNA-seq, single-cell RNAseq, whole exome sequencing, spatial RNAseq) • Proficiency in Python or R • Strong familiarity with data infrastructure and cloud computing resource implementation and management in AWS ecosystem • Demonstrated ability to oversee external CROs to implement data management and bioinformatics solutions. • Ability to lead teams in ensuring high data quality and integrity • Experience in fostering cross-functional collaboration to ensure alignment of project objectives and seamless executing, demonstrating strong teamwork and communication skills • Ability to multi-task and work independently as well as in collaboration with peers within a fast-paced team environment with a positive outlook and high degree of self-motivation and organization Working at Nkarta Inc. The common requirements of an office environment (computers, computer screens, workstations, etc.) apply when not working in or around the laboratory environment. Car and airplane travel might be required of this role for conferences and meetings. This role is local to the office in South San Francisco; however, the work hours are flexible as agreed upon. A reasonable estimate of the current salary range for this position is $216,000 - $247,000. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as the value of other elements of an employee’s total compensation package. Nkarta also offers an annual discretionary bonus, equity grant(s), medical, dental, vision and life insurance coverage, in accordance with the terms and conditions of the applicable plans. Other benefits include 401K plan, flexible spending account, ESPP, employee assistance program, paid vacation, holiday and personal days, paid parental, pregnancy, and bereavement leave. The 150+ team members describe working at Nkarta through some of the following comments. While getting better work-life balance and improving communications between groups in an early stage start up environment are two areas on which we are working, here are real, anonymous comments about or regarding why people think Nkarta is a great place to work. • “People are always open to ideas. This company provides a safe place for its employees (covid testing, etc.)” • “Exceptionally talented, committed, *kind* & supportive team.” • “The CEO is transparent and honest with expectations for the whole company. There is genuine care amongst the leadership team for their peers and employees. I believe this is unique.” • “Not to sound corny, but the emphasis on people as a valuable resource is something I recognize doesn't often exist elsewhere, and it's here in ample supply, which is great.” • “It's the first place that I've worked where the executive team truly values the employees. It's a pretty amazing thing not to hear that employees can be replaced with someone new. Institutional knowledge is understood.” • “We have a very diverse team with executives that are friendly and accessible.” • “Smart and dedicated colleagues. Mission to make a difference in patients’ lives. Empower us with tools needed to succeed. Open and transparent culture. Transparent leadership. Handling of covid and running the company was done very well.” To learn more about our work at Nkarta and the career opportunities that will drive us forward to serve patients, please visit the company’s website at https://www.nkartatx.com.

About Us Nkarta is a publicly traded (Nasdaq symbol NKTX), biotechnology company headquartered in South San Francisco focused on the discovery, development and manufacturing of off-the-shelf, natural killer (NK) cell therapies. Our near-term goal is to bring cell therapy out into the community setting, dramatically expanding access for patients. Founded in 2015 at the birthplace of biotechnology, Nkarta is a fast-growing, fast-moving, clinical-stage company that has built an extensive cell therapy manufacturing operation in anticipation of product commercialization. Our developmental pipeline of engineered NK cell therapies includes clinical programs in B-cell malignancies and autoimmune diseases. Complementing our broad research and development capabilities, Nkarta has also built an extensive cell therapy manufacturing operation. We recently built out a 23,000-square foot clinical good manufacturing practice, or cGMP, facility on-site at our primary corporate location in South San Francisco, California. Nkarta is a people-driven company looking for passionate, collaborative, driven team members galvanized by a paradigm-shifting opportunity to change the cell therapy landscape. Overview Nkarta is seeking a highly motivated, collaborative, detail-oriented Associated Director/Head of Bioinformatics to join our Translational Medicine team. The successful candidate will have experience in leading computational biology and/or bioinformatics teams in a biotech or pharmaceutical setting. This individual will work collaboratively within Translational Medicine and cross functionally to advance, support and execute on biomarker discovery, MOA investigations and data analysis from clinical samples to support translational and clinical strategies in early development. This role is ideal for an individual who is driven and passionate about cell therapy for the treatment of hard-to treat diseases. Responsibilities • Lead, manage and actively participate in the design, development and implementation of computational strategies and hands-on data analysis of clinical and biological datasets, contributing to go/no go decisions • Drive the innovation and oversee the application of advanced bioinformatics state of the art computational tools for analyzing different data types, including large-scale datasets, company metadata in databases, data lakes, Benchling, etc. • Lead and mentor a team of senior bioinformatics scientists, cultivating an environment that emphasizes continuous learning, innovation and career development • Collaborate with senior leadership to prioritize bioinformatics initiatives, delegation of resources, establishment of timelines, to align with company goals and objectives • Foster strong collaborative relationships with experimental scientists, internal and external stakeholders, including Translational, R&D, clinical and regulatory teams to support multidisciplinary projects. • Communicate effectively with internal teams and cross functionally during company presentations to both scientific and non-scientific stakeholders Qualifications • PhD in Biological sciences, Computational Biology, Biostatistics, Bioinformatics, Genomics, or a closely related discipline with 5+ years of industry experience. • Strong foundation in biological sciences with interest in immunology and applying bioinformatics tools and methods to enhance understanding of diseases • Deep-seated understanding and experience in modern statistical methodologies • Expertise in analyzing next generation sequencing data (e.g. bulk RNA-seq, single-cell RNAseq, whole exome sequencing, spatial RNAseq) • Proficiency in Python or R • Strong familiarity with data infrastructure and cloud computing resource implementation and management in AWS ecosystem • Demonstrated ability to oversee external CROs to implement data management and bioinformatics solutions. • Ability to lead teams in ensuring high data quality and integrity • Experience in fostering cross-functional collaboration to ensure alignment of project objectives and seamless executing, demonstrating strong teamwork and communication skills • Ability to multi-task and work independently as well as in collaboration with peers within a fast-paced team environment with a positive outlook and high degree of self-motivation and organization Working at Nkarta Inc. The common requirements of an office environment (computers, computer screens, workstations, etc.) apply when not working in or around the laboratory environment. Car and airplane travel might be required of this role for conferences and meetings. This role is local to the office in South San Francisco; however, the work hours are flexible as agreed upon. A reasonable estimate of the current salary range for this position is $216,000 - $247,000. There are several factors taken into consideration in determining base salary, including but not limited to: job-related qualifications, skills, education and experience, as well as the value of other elements of an employee’s total compensation package. Nkarta also offers an annual discretionary bonus, equity grant(s), medical, dental, vision and life insurance coverage, in accordance with the terms and conditions of the applicable plans. Other benefits include 401K plan, flexible spending account, ESPP, employee assistance program, paid vacation, holiday and personal days, paid parental, pregnancy, and bereavement leave. The 150+ team members describe working at Nkarta through some of the following comments. While getting better work-life balance and improving communications between groups in an early stage start up environment are two areas on which we are working, here are real, anonymous comments about or regarding why people think Nkarta is a great place to work. • “People are always open to ideas. This company provides a safe place for its employees (covid testing, etc.)” • “Exceptionally talented, committed, *kind* & supportive team.” • “The CEO is transparent and honest with expectations for the whole company. There is genuine care amongst the leadership team for their peers and employees. I believe this is unique.” • “Not to sound corny, but the emphasis on people as a valuable resource is something I recognize doesn't often exist elsewhere, and it's here in ample supply, which is great.” • “It's the first place that I've worked where the executive team truly values the employees. It's a pretty amazing thing not to hear that employees can be replaced with someone new. Institutional knowledge is understood.” • “We have a very diverse team with executives that are friendly and accessible.” • “Smart and dedicated colleagues. Mission to make a difference in patients’ lives. Empower us with tools needed to succeed. Open and transparent culture. Transparent leadership. Handling of covid and running the company was done very well.” To learn more about our work at Nkarta and the career opportunities that will drive us forward to serve patients, please visit the company’s website at https://www.nkartatx.com.

About The Role As a member of our bioinformatics and computational biology team, you will collaborate with colleagues across the company on projects that include data system design, management, analysis and visualization. You will play a critical role in developing cutting edge screening approaches, while designing and maintaining pipelines for large scale molecular screening data. Additionally, you will work as a computational biologist on drug discovery program projects, collaborating on drug discovery efforts as a data analyst, and point of contact for the team’s computational needs. About You You are enthusiastic about working at the intersection of experimental and computational biology. You have demonstrated proficiency in leveraging open source and commercial software to analyze and present ‘omics data. You have familiarity with screening-related assays and the tools used in the field. You enjoy working closely with laboratory scientists to find solutions to difficult biological problems. You are conscientious, detail-oriented, and organized. You enjoy working as part of a team and collaboration comes naturally to you. You thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm. Minimum Qualifications • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics or a related field plus 1-6 years of industry experience. Individuals with a Ph.D. in the Biological Sciences whose research displays a strong emphasis on informatics and data analysis are equally desirable. • Experience establishing efficient pipelines for the analysis of high-throughput screening data from antibody and other large molecule drug development programs. • Significant experience with data processing and data mining in a biological context, including integration of multiple experimental results and databases to produce biological conclusions. • Ability to write high-quality analytical code both independently and as part of a team. • Enthusiasm and experience in software development, with demonstrated expertise in one or more commonly used programming languages such as Python, R, go, rust or C/C++. • Experience with Linux/UNIX environments. • Team-oriented and highly collaborative with a hands-on approach; takes ownership of projects and advances them through both self-directed efforts as well as team engagement. • Demonstrated ability to design and execute computational analysis in accordance with best-in-class scientific standards and practices to ensure robust, reproducible results. • Understanding of statistics relevant to omics data analysis, including experimental design, handling of multiple comparisons, and mitigation of batch effects. • Excellent oral and written communication skills. Ability to communicate complex concepts to audiences with a wide range of backgrounds and technical familiarity. Preferred Qualifications • Experience with building or maintaining scientific software. • Experience with analysis of a range of assay data in a drug development context, including binding (e.g., SPR), display experiments, and developability assays (e.g., viscosity and aggregation). • Experience with AWS or other cloud computing. • Experience building and maintaining Nextflow Pipelines. Compensation The specific compensation package for this role depends on experience, qualifications and level. We anticipate the compensation range to be $106,000 to $167,000 per year. Xaira Therapeutics is an equal opportunity employer. We thrive on diversity and collaboration, and we welcome candidates with diverse backgrounds and experiences.

About The Role As a member of our bioinformatics and computational biology team, you will collaborate with colleagues across the company on projects that include data system design, management, analysis and visualization. You will play a critical role in developing cutting edge screening approaches, while designing and maintaining pipelines for large scale molecular screening data. Additionally, you will work as a computational biologist on drug discovery program projects, collaborating on drug discovery efforts as a data analyst, and point of contact for the team’s computational needs. About You You are enthusiastic about working at the intersection of experimental and computational biology. You have demonstrated proficiency in leveraging open source and commercial software to analyze and present ‘omics data. You have familiarity with screening-related assays and the tools used in the field. You enjoy working closely with laboratory scientists to find solutions to difficult biological problems. You are conscientious, detail-oriented, and organized. You enjoy working as part of a team and collaboration comes naturally to you. You thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm. Minimum Qualifications • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics or a related field plus 1-6 years of industry experience. Individuals with a Ph.D. in the Biological Sciences whose research displays a strong emphasis on informatics and data analysis are equally desirable. • Experience establishing efficient pipelines for the analysis of high-throughput screening data from antibody and other large molecule drug development programs. • Significant experience with data processing and data mining in a biological context, including integration of multiple experimental results and databases to produce biological conclusions. • Ability to write high-quality analytical code both independently and as part of a team. • Enthusiasm and experience in software development, with demonstrated expertise in one or more commonly used programming languages such as Python, R, go, rust or C/C++. • Experience with Linux/UNIX environments. • Team-oriented and highly collaborative with a hands-on approach; takes ownership of projects and advances them through both self-directed efforts as well as team engagement. • Demonstrated ability to design and execute computational analysis in accordance with best-in-class scientific standards and practices to ensure robust, reproducible results. • Understanding of statistics relevant to omics data analysis, including experimental design, handling of multiple comparisons, and mitigation of batch effects. • Excellent oral and written communication skills. Ability to communicate complex concepts to audiences with a wide range of backgrounds and technical familiarity. Preferred Qualifications • Experience with building or maintaining scientific software. • Experience with analysis of a range of assay data in a drug development context, including binding (e.g., SPR), display experiments, and developability assays (e.g., viscosity and aggregation). • Experience with AWS or other cloud computing. • Experience building and maintaining Nextflow Pipelines. Compensation The specific compensation package for this role depends on experience, qualifications and level. We anticipate the compensation range to be $106,000 to $167,000 per year. Xaira Therapeutics is an equal opportunity employer. We thrive on diversity and collaboration, and we welcome candidates with diverse backgrounds and experiences.