Bioinformatics Jobs

Payroll Title: BIOINFORMATICS PROGR 1 Department: MEDICINE/Cardiology Hiring Pay Scale... $25.67 - $33.00 / Hour Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Mon - Fri #125271 Bioinformatics Programmer I Initial Review Date: Wed 9/27/2023 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 09/15/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 09/27/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will remain open until a successful candidate has been identified. DESCRIPTION The Department of Medicine (DOM) is the largest department within the UCSD School of Medicine and is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego School of Medicine. The department employs approximately 500 salaried faculty, 168 academic appointees, 331 residents, fellow and postdocs and 479 staff personnel. Computational biologist. Resolves routine programming problems, applying established data processing algorithms to novel data. Works on issues and projects of limited scope. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. Maintains repositories of published code and answers outside user requests. Aids in the publications of research results. Proficiency in Python, R, Linux, and git version control systems required. AWS experience is a plus. Understanding of major biological data types (genomic SNPs, single-cell RNA-seq expression, protein-protein interaction networks, ATAC-seq, Chip-seq) is required. Will design and develop bioinformatic programs and pipelines to process genomics data. Responsible for lab computer and software maintenance and coordination with other computer facilities. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. MINIMUM QUALIFICATIONS • Four (4) years of related experience, education/training, OR a Bachelor's degree in bioinformatics, biological science, computational / programming, or related area and /or equivalent experience/training. • Basic knowledge of bioinformatics methods, techniques, and data structures. • Programming experience: R, Python, Linux, bash scripting, git version control systems. • Demonstrated experience in processing and analyzing genomics data. • Proven knowledge of applications programming and web development. • Knowledge of modern biology and applicable field of research. Theoretical knowledge in molecular, cellular, or developmental biology. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Strong ability to communicate technical information in a clear and concise manner. • Basic knowledge of application and data security concepts. PREFERRED QUALIFICATIONS • Knowledge of AWS, Jupyter Notebook, HPC • Knowledge relating to the design development, modification and implementation of software including object-oriented programming concepts. • Understanding of major biological data types (genomic SNPs, RNA-seq expression, protein-protein interaction networks. • Experience analyzing singlecell and spatial transcriptomics data. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $53,600 - $111,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $25.67 - $53.45 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

A career at Resilience is more than just a job – it’s an opportunity to change the future. Resilience is a technology-focused biomanufacturing company that’s changing the way medicine is made. We’re building a sustainable network of high-tech, end-to-end manufacturing solutions to better withstand disruptive events, serve scientific discovery, and reach those in need... For more information, please visit www.resilience.com RESILIENCE (National Resilience, Inc.) is a first-of-its-kind manufacturing and technology company dedicated to broadening access to complex medicines and protecting biopharmaceutical supply chains against disruption. Founded in 2020, the company is building a sustainable network of high-tech, end-to-end manufacturing solutions to ensure the medicines of today and tomorrow can be made quickly, safely, and at scale. RESILIENCE will offer the highest quality and regulatory capabilities, and flexible and adaptive facilities to serve partners of all sizes. By continuously advancing the science of biopharmaceutical manufacturing and development, RESILIENCE frees partners to focus on the discoveries that improve patients’ lives. For more information, visit www.resilience.com The Senior Bioinformatics Scientist will play a critical role in the development of state-of-the-art assays, bioinformatics analysis, and workflows applied to cell and gene therapy. This position is essential for advancing the Research, Development, and Manufacturing initiatives throughout the entire Resilience network. With the growing emphasis on next-generation sequencing (NGS) techniques for actionable insights, this role is vital to the success of multiple key projects, including in the development of assays applied to cell and gene therapies as well as engineering better manufacturing systems. Job Responsibilities • Collaborate closely with multi-disciplinary teams consisting of assay scientists, bioengineers, synthetic biologists, software engineers, and data scientists, among others. • Design and implement NGS-centric experiments, analysis, workflows, and data pipelines to meet the analytical requirements of the research and development programs. • Prepare and present technical reports and research findings to stakeholders, including senior management and external collaborators. • Contribute to scientific publications and participate in relevant conferences to share research outcomes and network with peers in the industry. • Drive innovation, keeping on top of the latest advancements in the fields of bioinformatics and engineering, and proactively identify opportunities to apply these innovations within Resilience. Minimum Qualifications • Proven expertise in leveraging bioinformatics for assay development towards research and clinical applications, with a focus on metagenomics, meta-transcriptomics, and clinical microbiology. • Extensive, demonstrable experience in analyzing large and complex NGS datasets (RNASeq, variant calling, alignment, denovo assembly, single-cell technologies) for assay development, research, and/or clinical settings using short and long-read sequencing technologies. • Excellent understanding of microorganism databases and toolkits, preferably related to clinical applications. • Proficient in an object-oriented programming language like Python and/or functional programming languages like R and relevant packages. • Ability to communicate effectively and professionally across various technical disciplines with multiple stakeholders, including management, peers, customers, and suppliers. • Good organizational skills, with the ability to contribute to multiple fast-paced projects simultaneously. Preferred Qualifications • MSc. or PhD in Bioinformatics, Computational Biology, Genomics, Microbiology, or related field. Typically expected industry experience of more than 5 years for a Senior/Staff Scientist with an MSc and 3 years with a PhD. • Experience with GxP or clinical assays in healthcare settings and infection control is a plus. • Experience in collaborating with external research groups and taking part in consortium efforts. • Experience with strain engineering data analysis is a plus. • Experience in Agile and/or Product Development Process (PDP). Resilience is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, physical or mental disability, genetic information, or characteristic, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Requests for reasonable accommodation can be made at any stage of the recruitment process. Resilience offers employees a robust total rewards program including equity, an annual cash bonus program, a 401(k) plan with a generous company match and our benefits package which is thoughtfully designed to support our employees with great healthcare (including medical, dental and vision), family building benefits, life and disability insurance, flexible time off, paid holidays, other paid leaves of absence, tuition reimbursement and support for caregiving needs. Our target annualized base pay hiring range for this position is $140,000.00 - $185,000.00. Actual base pay is dependent upon a number of factors, including but not limited to, the candidate’s geographical location, relevant experience, qualifications, skills and knowledge. Excited about Resilience and the biomanufacturing revolution? We encourage you to apply and start a conversation with one of our recruiters

The Molecular Profiling and Data Science Department at Regeneron is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative work environment. You will lead bioinformatic analyses and computational methods development that help the Regeneron Genetics Medicines group create next generation therapies in gene editing, gene... suppression, gene expression, and gene insertion. You will work on projects that use pioneering technologies like AAVs, shRNAs, siRNAs, LNPs, and CRISPR-Cas9 to treat or cure diseases. You will analyze RNA-seq and other omics data to characterize and further develop our therapies. Our department consists of computational scientists with backgrounds ranging from genomics to machine learning, as well as wet-lab NGS technology developers with plenty of sequencing capacity. Beyond our group, you will collaborate closely with scientists in Regeneron Genetics Medicines and other departments to create genetic therapies in a wide range of disease areas, including hemophilia, lysosomal storage disorders, and metabolic diseases, that directly impact the lives of patients. As a Sr. Scientist, Bioinformatics, a day might include the following: • Analyzing RNA-seq data to characterize the natural immunological response to viral and non-viral genetic medicines and develop new immunomodulatory therapeutics. • Investigating the on-target and off-target effects of genetic medicines on gene expression. • Developing new bioinformatic methods to analyze NGS reads to characterize, improve, or limit the endogenous modification and processing of genetic medicines. • Building tools to characterize RNA transcripts and splicing using long-read sequencing. • Collaborating extensively with wet-lab biologists to propose and design the best experiments and NGS readouts. • Contributing to regulatory submissions. • Publishing and presenting novel findings in patents, conferences, and peer-reviewed journals. This job might be for you if: • Want to contribute to the advancement and design of next generation genetic therapies and help shape computational tools used by a rapidly growing part of the company. • Have a strong computational background and enjoy technology development and creating new methods. • Like working at the interface between computation and experiments. • Like diving deep into data, including analyzing raw NGS reads. • Have a curious approach, pay strong attention to detail, and challenge conventional wisdom. • Can effectively communicate with collaborators from various backgrounds and value teamwork. • Want opportunities to showcase and publish your work. To be considered for this role, you must have a PhD degree in Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Computer Science, Applied Mathematics, Bioengineering, or related quantitative fields. Experience with bioinformatics analysis at the gene or sequence level,. Proven experience with developing new computational methods, and a strong background (3+ years) in R and/or Python. Previous experience or familiarity with experimental wet-lab molecular biology is highly desirable. Familiarity with a Linux environment, shell scripting, and high-performance computing clusters is a plus. Experience with machine learning on biological problems is also valued. #RGM #LI-Hybrid Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and 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. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $103,600.00 - $169,000.00

SOPHiA GENETICS combines deep expertise in life sciences with mathematical capabilities in data computing to create the future of AI-assisted Medicine. As we pass 1,000,000 genomic profiles analyzed and look to the future of our platform, we are now searching for a Bioinformatics Customer Service Specialist to join our exciting international team and be at the forefront of scientific and... technological advancements. SOPHiA GENETICS (NASDAQ: SOPH) combines Data-Driven Medicine, Genomics and Radiomics, to ensure that the data used to help patients today will also benefit the patients of tomorrow. SOPHiA DDM™ Platform in supporting multimodal data-driven medicine. The Bioinformatics Customer Service Specialist will report to the Customer Support Level 2 Manager and will be mainly responsible for managing customer cases, guiding customers to success with core bioinformatics workflows, analyzing client data, and creating and updating support documentation. They will work closely with the Bioinformatics Services team to train and share knowledge to improve the resolve rate and resolution time of BioIT client support cases. Main Responsibilities • Answer bioinformatics related questions (internally and externally); • Provide and document resolutions to issues and questions; • Provide BioIT related support to clients including: Performing initial analysis of client data for investigations, answering client BioIT related questions from FAQs and knowledge base, attempt to view and simulate errors by gaining access to client accounts, escalate complex issues to Level 3 support teams as needed and follow up to ensure questions are being promptly addressed, identify similar client issues and request and participate in Root Cause Analysis (RCA) as needed; • Create and update support documentation. • Help with the release cycle: prepare and test new products (pipelines, new gene panels, etc.) for release, set up and run non-regression tests, test new developments and tools • Gather and document customer feedback and collaborate with Data Science and Software Engineering teams to improve SOPHiA GENETICS products and documentation • Mentor and train other members of the support team • As this is a new role within SOPHiA GENETICS, help to define and document other responsibilities. Requirements • Minimum Master’s degree in Bioinformatics, Computer Biology or related field plus 3-4 years’ experience. a PhD degree in Bioinformatics, Computer Biology or related field would be strongly appreciated. • Experience with high performance computing clusters, bioinformatic analysis pipelines, version control systems, and parallel computing. • Proficient in one or more scripting languages (R, Python, Perl, …) • Proficiency in working with Linux, bash scripting, and command line interface • Broad knowledge of NGS data analysis, tools, and methods • Demonstrated understanding of statistics • Experience with handling / manipulating large datasets • Experience parsing CSVs, JSON documents, SQL tables, and making API calls is highly preferred • General knowledge of Microsoft Azure Cloud Services (architecture, technologies, SaaS) Other requirements • Strong interpersonal, written and oral communication skills including the ability to confidently present proposals • Excellent time management, particularly the ability to effectively prioritize and execute tasks in line with business objectives • Customer Oriented • Excellent English verbal and writing skills. Any additional language is a plus Benefits You will be joining an organization with the patient at the heart of every decision and action, driven by purpose as we drive exponential growth. Business recognition and accolades include: • World's most innovative companies (Top 10) • World's smartest companies (Top 50) • 100 Best Places to Work in Boston • Top 10 European Tech Startup - 2020 • Top 10 European biotechs startup to watch - 2021 • Top 25 East-Coast Biotech to watch - 2021 Plus, you will find : • A flexible, friendly, and international working environment with a collaborative atmosphere • Flexible working hours, including hybrid remote / on-site working model • An exciting company mission that brings together science and technology to directly impact the lives of patients with life threatening illness. • A fast-growing company with plenty of opportunity for personal growth and development • A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, DevOps, machine learning Location: Boston, USA. Office-based, including 2 days per week remote / 3 days on-site. Start: ASAP (or as agreed) Contract type: Permanent, full-time Application process If you think you fit this position, please send a resume and a cover letter. Please note that incomplete applications will not be considered. After an initial screening process, candidates will be invited for remote interviews

Description Expected Starting Salary Range: 33.97 - 42.86... SUBFUNCTION DEFINITION: Are you passionate about bridging the gap between biology and data analysis? Do you thrive in a collaborative research environment, excited to unravel the mysteries hidden within complex biological data? We are seeking a dedicated and innovative Senior Bioinformatics analyst to join our Bioinformatics Collaborative Services (BCS) team at Cincinnati Children's Hospital Medical Center. In this role, you will play a pivotal role in analyzing and interpreting intricate biological data to derive meaningful patterns across a diverse range of -omics data types, including proteomics, transcriptomics, genetics, and epigenetics. REPRESENTATIVE RESPONSIBILITIES What You'll Do: As a Senior Bioinformatics analyst, you will bring your strong conceptual and practical knowledge to the table. You'll work collaboratively with moderate guidance and supervision, applying your experience in analyzing RNA-seq, ATAC-seq, ChIP-seq, WGS datasets. Key Responsibilities: • Provide bioinformatics insight and support to research labs: collaborate with scientists to design informatic experiments and analyze and interpret complex biological data. • Perform in-depth analysis of diverse -omics data types; proteomics, transcriptomics, genetics, and epigenetics. • Maintain documentation of analysis work including upkeep of a detailed lab notebook through an established electronic system, to facilitate reproducibility and knowledge sharing. • Stay current with advancements in bioinformatics, attending conferences, workshops, and engaging with the scientific community to remain at the forefront of the field. • Design, develop, and maintain bioinformatics pipelines, including maintaining public documentation and example workflows. • Contribute to the creation and enhancement of visualization tools, producing informative figures and visualizations for grant proposals, manuscripts, and presentations. • Conduct training sessions and create comprehensive tutorials to educate researchers on bioinformatics techniques, tools, and best practices. Qualifications EDUCATION/EXPERIENCE Required: •Master's degree in a related field •2+ years of work experience in a related job discipline OR equivalent combination of education and experience Preferred: What would we like you to have: • Proficiency in programming languages such as Python, R, or Perl. • Experience with bioinformatics tools and software for bulk RNA-seq, single cell data, ChIP-seq, ATAC-seq data analysis, etc. • Strong understanding of statistical methods and data visualization techniques. • Familiarity with genomics databases and resources. • Excellent communication skills for effective collaboration and training. • Ability to work independently and as part of a team in a dynamic research environment. Unique Skills: Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA

Description SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data... REPRESENTATIVE RESPONSIBILITIES •Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. Develops and executes data characterization/quality assessment routines of basic to moderate complexity including metadata standardization. •Data Analysis Assists analysts and managers in building robust pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software and contributes to the development of new and existing tools to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Helps develop scalable, searchable and secure data structures, utilizing best-practices as much as possible. Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients. Maintains computational infrastructures and controls the flow of data and information for studies. Provides web-based bioinformatics tools and access to public and proprietary relational databases. Documents standard operating procedures based on best practice. Works in collaboration with both technology and scientific teams. •Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Problem-solves and discusses possible solutions with the stakeholders. Considers the implications of possible solutions on the current environment. •Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Participates in various aspects of the software development life cycle, including identification of key stakeholders, design requirements gathering, system analysis and design, code generation, testing and implementation. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. •Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. Qualifications EDUCATION/EXPERIENCE Required: •Master's degree in a related field •2+ years of work experience in a related job discipline OR equivalent combination of education and experience

Description Expected Starting Salary Range: 27.60 - 35.28... SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data. REPRESENTATIVE RESPONSIBILITIES • Curate genomic and biological data from scientific literature using computer readable ontologies and defined syntax including: gene expression, genes, transgenic and mutant lines, experimental, reagents, anatomy, genotype, phenotype, GO-CAMs (gene ontology) and models of human disease. • Metadata curation of transcriptomic and epigenetic high-throughput datasets. • Participate in genome annotation and gene nomenclature. • Contribute to ontology development. • Develop strategies to improve workflow, data curation, data display and website design. • Help identify and implement efficiencies. Maintain standard operating procedures. • Foster and maintain effective communications with the research community, other resources and institutions. • Co-author reports and publications and give presentations at national and international meetings and workshops. •Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. •Data Analysis Executes pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Utilizes web-based bioinformatics tools and public/proprietary relational databases. Follows standard operating procedures. Works in collaboration with both technology and scientific teams. •Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Contributes to problem-solving and solution evaluation. •Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Under general supervision, assists with implementation and testing efforts. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. •Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. Qualifications EDUCATION/EXPERIENCE Required: •Bachelor of Science degree (MSc or PhD degree in biocuration and/or biomedical research preferred) • 0 - 2 years of work experience in a related job discipline Preferred: • Experience with genomics, developmental or cell biology research, particularly Xenopus. • Experience with data wrangling and programming languages such Perl, Python or R. • Experience working with ontologies, biocuration and/or biological knowledgebases. • Strong interpersonal and communication skills, including excellent written and spoken English. • Robust evidence of documentation for code and workflows. • Self-motivated with excellent time management skills. • Show ability to work in a team and independently. Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA

Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages... Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~500 employees and more than $1.1B in funding from key investors, such as the American Cancer Society, Andreessen Horowitz, Anthem Blue Cross, Bain Capital, Colorectal Cancer Alliance, DCVC, Fidelity, Google Ventures, Kaiser Permanente, Novartis, Perceptive Advisors, RA Capital, Roche, Sands Capital, T. Rowe Price, and Verily. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a Freenomer Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time. About this opportunity: As a Senior Bioinformatics Research Engineer, you will work on Freenome’s research platform, developing and deploying bioinformatics pipelines and computational approaches. As part of an interdisciplinary R&D team, you will work in close collaboration with computational biologists, machine learning scientists and software engineers. You will develop cutting edge solutions at the intersection of machine learning, genetic sequencing technology, biological data, and distributed systems. These contributions will drive our mission to detect cancer at its most actionable and early stages. What you’ll do: • Work at the intersection of biological data, software engineering and machine learning research • Lead the development of Freenome’s bioinformatics research engineering framework and internal tools • Engineer robust and reproducible data pipelines that enable cutting edge liquid biopsy research • Develop software and workflows that support a long term vision for bioinformatics research engineering, and provide a model for product software • Manage and integrate data sources across the company (laboratory, bioinformatics, clinical) to enable advanced multiomic analysis • Build for significant growth and scaling • Improve the reliability and scalability of our research platform as it grows • Enable data-driven science discoveries in biology and healthcare Must haves: • PhD in a quantitative field and 3+ years of experience with bioinformatics infrastructure, automation, and software engineering or B.S./M.S. and equivalent experience • Strong computational and programming skills, in Python or equivalent, including thorough experience with large scale systems and user bases • Fundamental understanding of bioinformatics, including the central dogma, molecular or cancer biology, or familiarity with regulatory processes. Extensive experience in analyzing genomics data, particularly next-generation sequencing (NGS) • Robust history of delivering major technical projects or analyses • Experience in implementing statistical methods and algorithms that scale to large datasets • Demonstrated ability to partner with laboratory and computational scientists and engineers to translate scientific roadmaps into concrete products • Ability to operate in a highly cross-functional environment where collaboration across disciplines is absolutely necessary Benefits and additional information: The US target range of our base salary for new hires is $157,250 - $240,000. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ https://careers.freenome.com/ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. • Family & Medical Leave Act (FMLA) • Equal Employment Opportunity (EEO) • Employee Polygraph Protection Act (EPPA) #LI-Remote

You + Helix Helix is a place where innovators and doers gather in order to drive significant progress in population genomics. We have come together to work at the intersection of clinical care, research, and genomics... If you’re excited by the idea of making a meaningful impact and joining a team where we pride ourselves on driving innovation through fostering an environment with an emphasis on empowering one another to grow, Helix might be the place for you! Helix + The World Helix is the leading population genomics and viral surveillance company. Helix enables health systems, public health organizations and life science companies to accelerate the integration of genomic data into patient care and public health decision making. We are continuing to scale our world-class team to support our dedication to empowering every person to improve their life through DNA. Helix + Transparency At Helix, we value transparency. You will find the expected compensation, interview process, what to anticipate during onboarding, and your first 90 days listed in the job description for all Helix roles. What is special about this role? As a senior bioinformatics engineer, you will be working with a team of talented bioinformatics engineers and scientists to create and maintain bioinformatics pipelines to advance Helix’s mission. You will contribute to reliable and innovative solutions in a highly regulated environment. As a Senior Bioinformatics Engineer, You Will • Develop, maintain, and document bioinformatics pipelines in a regulated environment. • Maintain and help architect supporting infrastructure in AWS. • Develop test cases and test scripts. • Analyze and produce data insights to support the development and improvements of bioinformatics algorithms. • Contribute to the creation and maintenance of regulatory documentation as part of the design control process. About You • 3 years of relevant industry experience • Experience with developing NGS bioinformatics pipelines • Proficiency with Python • Experience working cross-functionally • Strong communication skills, both oral and written • Open to learning new skills and not afraid to step outside of the comfort zone • Problem-focused and able to drive tasks to completion Pluses • Experience with software development under CLIA/CAP regulations and/or FDA regulations • Experience writing test cases and test scripts • Experience with Jira and JAMA Physical/Mental Demands: This role requires prolonged periods of sitting while being able to view and read text on computer screens less than a few feet away. May periodically require lifting up to 10 pounds and occasional walking or standing. May require repetitive motions that may include the wrists, hands, or fingers. May require meetings in person or via video conference (on or off-camera). Requires work in a typical office setting or may be eligible for remote work. Role also requires the ability to reason logically and make sound decisions; ability to understand, remember, and follow verbal and written instructions; and ability to perform in situations requiring deadlines. Ability to work as an integral part of a team. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For more information or to make an accommodation request reach out to HR@helix.com. Expected Interview Process • Recruiter Screen 2) Manager Screen/Tech Screen 3) Onsite 4) Offer Expected Pay For This Role Annual Salary - MXN 990,100 to 1,305,000 Aside from working alongside brilliant, dedicated, passionate, down-to-earth, curious, warm, and thoughtful people, we also provide great benefits through our employer of record. What To Expect During Your Onboarding Week We want to make sure your first week is spent learning the foundations. You will be invited to live orientation sessions and spend time with your hiring manager developing your individual roadmap to success. This experience will include sessions that cover your benefits, security & privacy training, an introduction to the OKR framework used at Helix and our communication tools and norms. What To Expect During Your First 90 Days • First 30 days: you’ll spend time learning the Helix way, completing training and onboarding for your roles, and getting introduced to your team and relevant stakeholders. You’ll also gain a deeper understanding of our customers, our products, the impact we make in the lives of our communities, and how to thrive at Helix through participation in Helix U. • Day 30 - 60: you’ll spend time contributing to projects, deeply familiarizing yourself with team and company processes, and developing a deeper understanding of Helix’s products, services and capabilities. • Day 60 - 90: you’ll build your OKRs with your manager, start to take ownership of projects and initiatives on your team, and begin to demonstrate your impact on the Helix mission. Helix is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws

SHIFT: Day (United States of America ... Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Bioinformatics Engineer I position is an entry-level position in the support of computational environments focused on the management, transfer, formatting, and general processing of complex data types associated with genomics and proteomics. Whereas the Bioinformatics Scientist is primarily focused on the outcome of an analysis in terms of the scientific endpoint, the Bioinformatics Engineer is primarily focused on the outcome of an analysis in terms of validity, efficiency, and robustness. The focus of the position is basic systems implementation of data manipulation and analysis pipelines, applications, general hardware configurations, and bioinformatics-specific hardware configurations. Bioinformatics programming activities are also included. The Bioinformatics Engineer I primarily operates in a local environment as opposed to enterprise-level. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a high degree of supervision with low latitude for independent judgment. The Bioinformatics Engineer I will be introduced to the concepts of best practices in scripting, pipeline workflow development, hardware and software configurations, change controls, quality, sustainability, and documentation. The Bioinformatics Engineer I is primarily focused on supporting bioinformatics analytical groups and individuals as an engineering resource. What you will do • Computational Environment Development and Optimization (70%): Contribute to the maintenance and development of bioinformatics tool portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Work with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows. • Maintain pipelines by staying current with evolving algorithms and standards and incorporating into pipeline • Optimize performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters • Define and prioritize requirements for pipeline development over time to incorporate new technologies and platforms via functional communication with bioinformatics group members and bioinformatics end users • Identify appropriate open-source and commercial products that serve needs of pipeline and/or customized analyses of end users. • Implement and maintain commercial and open-source software for common bioinformatics and genomics data analysis. • Implement, update and maintain locally stored data resources required for various analysis tasks. • Provide efficient data management support including file transfers, data formatting and manipulation, and basic integration of data from a variety of experimental and reference resources. • Maintain working knowledge of available commercial and openly accessible knowledgebase as they apply to bioinformatics analysis. • Collaboration and Mentorship (10%) • Collaborate primarily with bioinformatics scientist group and equivalents to produce local scale computational environments • Works with both bioinformatics group members and end users/clients to understand specific needs in bioinformatics and end user-specific domains • Attends group and team meetings and contributes primarily factual information regarding processes and approach • Provide ad hoc support and one-on-one and group-based training on key bioinformatics software, features, and workflows • Documentation and Standardization (20%): • Documents all aspects of computational environment parameters, instructions, and SOP's for existing systems and newly implemented systems. • Ensure that all routinely used tools (e.g. those included in shared analysis pipelines) are versioned and managed through a source control system. • Ensure that configuration files that provide parameters to algorithms and analysis software are versioned and managed through a source control system Education Qualifications • Bachelor's Degree Required • Master's Degree biological or computational discipline Preferred Experience Qualifications • At least one (1) year of experience in applied bioinformatics, computational, and genomics/proteomics areas Preferred Skills and Abilities • Strong UNIX/LINUX expertise required. • Strong experience with Docker/container use • Experience with query testing and troubleshooting • Experience with R strongly preferred • Experience with Python, Perl, or other languages preferred. • Experience with pipeline or workflow development frameworks preferred. • Experience with data management preferred. • Familiarity with open source and commercial bioinformatics resources and software preferred. • Experience with genomic data analysis preferred. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is preferred. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills • Ability to work in a team environment. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement