Bioinformatics Jobs

R&D Partners is seeking to hire aBioinformatics Associate III inSouth San Francisco, CA. Your main responsibilities as a Bioinformatics Associate III: Pipeline Development: Design, develop, test, and optimize automated bioinformatics pipelines for the processing and analysis of diverse sequencing data. Data Analysis: Perform advanced statistical and computational analyses of genomics data, including variant calling, differential gene expression, pathway analysis, genomic annotation, and custom analyses tailored to research questions. Scripting & Programming: Write efficient, well-documented, and reproducible code primarily in Python or R for data cleaning, transformation, integration, and visualization. Algorithm Implementation: Evaluate, implement, and adapt existing bioinformatics tools and algorithms, as well as contribute to the development of novel methods. Collaboration: Work collaboratively with wet-lab scientists to understand experimental designs, troubleshoot data quality issues, and interpret biological findings. What we are looking for in a Bioinformatics Associate III: Training in Bioinformatics, Computational Biology, Genomics, Genetics, Computer Science, or a related quantitative field. Proven strong programming skills in either Python or R is essential. (Please specify which language you are most proficient in and provide examples of your work if possible). Solid understanding of next-generation sequencing (NGS) data types, experimental design, and common bioinformatics analysis workflows. Experience with biological databases and public data repositories (e.g., NCBI, Ensembl, UCSC Genome Browser, TCGA, GTEx). Familiarity with version control systems (e.g., Git). Excellent problem-solving abilities and a strong analytical mindset. Why ChooseR&D Partners? As an employee, you have access to a comprehensive benefits package including: • Medical insurance PPO, HMO & HSA • Dental & Vision insurance • 401k plan • Employee Assistance Program • Long-term disability • Weekly payroll • Expense reimbursement • Online timecard approval Pay Scale: $95,896 $119,88 Dependent on Experience) R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer. About the Company: R&D Partners

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time for our expanding liquid biopsy portfolio (including diagnostics, therapy selection, molecular residual disease testing and therapeutic response monitoring). We are looking for a highly motivated and capable Bioinformatics Scientist with extensive experience and interest in translational cancer research and genomics algorithm development. This position requires experience with scientific programming, relational data systems, algorithms development, and statistical modeling. Top candidates will also have leadership experience in NGS pipeline development in a clinical setting. Responsibilities: • Develop algorithms used to gain insight into cancer variation through analysis of next generation sequencing data. • Design and conduct analysis to improve variant calling, classification and analysis systems. • Design and execute experiments to support various regulatory submissions. • Collaborate with scientists, and clinicians to design and perform analyses on cancer clinical sequencing data in order to improve quality of care. • Work in an interdisciplinary group of scientists and engineers to translate research into clinically actionable insights for our clients. • Communicate with outside scientific teams as well as product and bioinformatics leadership. • Produce high quality and detailed documentation for all projects. Preferred Qualifications: • A completed Ph.D. in Cancer Biology or Molecular Biology related to cancer or relevant experience. • Computational skills using Python and/or R. Ideal candidates will possess: • Experience in cancer genetics, immunology, and/or molecular biology. • Experience working with Next-Generation Sequencing Data. • Experience building NGS pipelines in a clinical setting. • Self-driven and works well in interdisciplinary teams. • Experience with communicating insights and presenting concepts to a diverse audience. • Strong demonstrated programming ability. • Background in predictive or prognostic algorithm development. The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. About Us Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics. We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives. Why Work Here? We’re looking for people who can change the world. Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.

Job Title: Senior Scientist, Bioinformatics/Computational Biology, Protein Engineering Location: Gaithersburg, MD Introduction to role: Join us in the Biologics Engineering team, where we are at the forefront of discovering and designing next-generation biologics. Our Protein Engineering & Novel Modalities Group is dedicated to creating complex therapeutics that address unmet medical needs. We are passionate about pushing scientific boundaries to deliver life-changing medicines, collaborating across the AZ Research organization to innovate and optimize biological drug candidates with enhanced safety and efficacy. Accountabilities: Are you ready to make a difference in the field of antibody therapeutics? As a Bioinformatics Scientist or Computational Biologist, you will be instrumental in advancing bispecific and multispecific antibody therapeutics. Your expertise in bioinformatics, computational modeling, and AI-driven approaches will drive innovation in multispecific antibody engineering. - Analyze antibody sequence and structure data to identify and optimize bispecific and multispecific candidates using bioinformatics and AI tools. - Design and implement computational workflows for in silico design and assessment of multispecific antibodies, including structure, specificity, and function prediction. - Apply statistical methods and visualization techniques to extract meaningful patterns and communicate findings to cross-functional teams. - Collaborate and partner with AI/machine learning teams and functional hubs across the organization to drive multispecific evolution. - Work closely with wet-lab scientists to interpret high-throughput screening data and guide experimental design. - Prepare, analyze, and present data internally and externally. - Stay current with advances in bioinformatics methodology and antibody engineering technologies, contributing ideas for improved data analysis strategies. Essential Skills/Experience: - PhD in Bioinformatics, Computational Biology, Biochemistry, or closely related discipline with 2+ years of post-graduate experience applying bioinformatics and/or computational biology approaches in antibody or protein engineering. - Expert knowledge of common bioinformatics databases, resources, and tools, such as PDB, UniProt, IMGT, SAbDab, and relevant antibody engineering platforms. - Proven expertise in protein sequence analysis, structural modeling, and applying AI/ML techniques to predict antibody features and functionality. - Advanced proficiency in using bioinformatics tools and computational platforms for protein sequence and structure analysis. - Hands-on skills with scripting and programming languages (e.g., Python, R) and with advanced modeling tools for antibody engineering (e.g., Rosetta, PyRosetta, AlphaFold-Multimer, DeepChain, or similar). - Experience building and optimizing computational workflows for large-scale protein data analysis and visualization. - Demonstrated success collaborating within cross-functional teams, communicating computational results to guide experimental design and construct optimization. - Track record of scientific innovation evidenced by publications, patents, or conference presentations in computational protein engineering or related fields. Desirable Skills/Experience: - Understanding of therapeutic antibody developability, including the computational assessment of immunogenicity, stability, and potential liability prediction. - Expertise in modeling antibody-antigen interactions and computational methods for predicting binding interactions. - Ability to integrate data from diverse public and proprietary sources, translating computational results into actionable insights for experimental teams. - Excellent written and verbal communication skills and effective presentation of complex scientific data to cross-functional and senior management. - Strong analytical, problem-solving, and organizational skills, with the adaptability to work in a fast-paced, multidisciplinary pharma environment. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, we are driven by curiosity and courage to explore new scientific frontiers. Our commitment to making a difference fuels our passion for science as we fuse data and technology with innovative approaches. We work seamlessly as one inclusive team, leveraging diverse global knowledge to create swift impacts on disease. With opportunities for lifelong learning and growth, we empower our employees to push boundaries and deliver transformative medicines that impact patients worldwide. Ready to make an impact? Apply now to join our team of innovators at AstraZeneca! Date Posted 15-Aug-2025 Closing Date 31-Aug-2025 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

Assistant Professor of the Practice in Bioinformatics Location: Notre Dame Open Date: Mar 07, 2024 Deadline: Apr 15, 2024 at 11:59 PM Eastern Time Description:The Department of Biological Sciences at the University of Notre Dame seeks a broadly trained and innovative bioinformatician at the Assistant Professor of the Practice level to contribute to service in the Genomics and Bioinformatics Core Facility (GBCF), and to teach courses and workshops in computation and genomics. This non-tenure track position is available starting fall semester 2024, and is renewable and expected to be a long-term, continuing position with opportunities for promotion. The successful candidate will join a vigorous and growing genomics community anchored by the Department of Biological Sciences and distributed across the Colleges of Science and Engineering. The GBCF is a central component of this community with a mission to facilitate genomics research on the Notre Dame campus. The successful candidate will work closely with the GBCF staff to provide bioinformatic and computational consultation, expertise, and infrastructure to support faculty research. This role includes developing working relationships with faculty, exploring possible avenues for novel bioinformatics research, as well as providing basic bioinformatic services and project consultation. The successful candidate will also develop and deliver courses and workshops to enhance the educational infrastructure in bioinformatics based on departmental needs and the applicant's area of expertise. Courses may range from basic computation literacy to advanced undergraduate/graduate level genomics analysis. While this position will be service and teaching oriented, the candidate will also have opportunities to engage in collaborative and independent research. Qualifications: Preference will be given to candidates with a Ph.D. in biological sciences, computer science, or related field and experience teaching bioinformatics. Excellent communication skills, and familiarity with the analysis of genomic and transcriptomic data are required. The successful candidate will have experience with one or more of the following areas of analysis: epigenomics, proteomics, genome assembly, population genomics, microbial diversity, comparative phylogenomics, GWAS, single-cell and spatial genomics, and/or network analysis. Strong candidates will also have a solid understanding of data management practices, common software handling paradigms (e.g. conda, modules, containers), linux command line, common genomic data formats (gff, vcf, sam, etc). Broad experience troubleshooting genomic analysis and software and experience with permissions (both unix and ACLs) will be advantageous. Strong candidates will also have experience teaching computational biology or bioinformatics in the classroom or in workshops. To apply, visit https://apply.interfolio.com/142498 This appointment is contingent upon the successful completion of a background check. Applicants will be asked to identify all felony convictions and/or pending felony charges. Felony convictions do not automatically bar an individual from employment. Each case will be examined separately to determine the appropriateness of employment in the particular position. Failure to be forthcoming or dishonesty with respect to felony disclosures can result in the disqualification of a candidate. The full procedure can be viewed at https://facultyhandbook.nd.edu/?id=link-73597. Equal Opportunity Employment Statement The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and is committed to building a culturally diverse workplace. We strongly encourage applications from female and minority candidates and those candidates attracted to a university with a Catholic identity. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and requires affirmative action by covered contractors to employ and advance veterans and qualified individuals with disabilities in compliance with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). jeid-6eb81596a7e9c547a15f50910916f427

Adjunct Faculty-Global-Bioinformatics Who we are: Davenport University is a private, non-profit university focused on offering a practical curriculum and the latest degree programs. Our graduates are prepared to exceed employer expectations, transform communities, and change lives. At Davenport, we believe every person may achieve his or her dream. Would you like to be part of our success? It all starts here! The College of Arts and Sciences The College of Arts and Sciences provides a practical curriculum that begins with a solid foundation in general education. The College was established in 2011 to enhance the general education programs that were in place prior to the reorganization of Davenport's academic platform. Every DU degree begins here, with core classes from the College of Arts and Sciences. We build student's knowledge base in math, humanities, English, social sciences, life sciences and languages as part of a complete program. Adjunct Faculty-Global-Bioinformatics WORK LOCATION: Offsite DEPARTMENT: Academic-College of A & S Our Adjunct Faculty members are a very valuable asset to the DU team and programs, bringing practical experience, current working knowledge, and a passion for their profession to our students who have diverse interests, abilities, needs and expectations. RESPONSIBILITIES: • Demonstrated knowledge in assigned teaching discipline. • Teaches courses as contracted each session and proactively prepares for scheduled courses. • Provide instructional opportunities for entire scheduled class time. • Contribute positively to the advancement of academics through: • Understanding the Davenport University curriculum. • Preparing instructional course syllabi and materials. • Providing input and feedback on selected textbooks, instructional resources and electronic materials. • Use of digital learning technology including learning management system (eg. Blackboard), publisher provided digital resources and other technology as required. • Conduct classes in accordance with established course outlines and approved instructional materials. • Guide students in their educational processes by referring them for assistance regarding their program/schedules, academic progress, specialized services within the University, and/or up-to-date information about educational/occupational opportunities. • Be accessible to assist students with questions and in completion of assignments as delineated in the course syllabus, including ADA accommodations. • Access information on current issues through University communications (i.e. e-mail and print correspondence, website, and publications). • Engage with various college and campus activities including attendance at a faculty kick-off, advisory board and other meetings as requested. • Maintain all records-student/classroom/department (i.e. grades, attendance, Excellence System, etc.)- in compliance with University guidelines. • Maintain and demonstrate a positive approach that provides for innovation, personal growth and professional development. • Understand and abide by all external and internal regulations and policies. This includes NCAA, GLIAC and national affiliations associated within athletics or other role specific regulations. • Maintain and demonstrate a high level of professional ethics. • Participate in adjunct faculty evaluation process as determined by the University. QUALIFICATIONS: • Master's Degree (or equivalent credentials) in related field required. • Minimum of eighteen (18) graduate semester hours in assigned teaching discipline. • Minimum of three (3) years current professional experience related to assigned teaching discipline. • Relevant/Current certifications/licenses as required by teaching assignment. • Ability to teach one (1) to four (4) hours per class session. • Enjoy working with the public and be able to relate well with diverse students, faculty, and staff. • Demonstrate a professional manner and attire in a business environment. • Demonstrate effective oral, written, and interpersonal communication behaviors. • Demonstrated effective knowledge and use of presentation, facilitation, and technology skills. • Demonstrated ability to think critically, analyze data, and read/process written information. • Teaching experience (preferably in higher education or training) and/or experience in planning/developing courses preferred. • Prolonged sitting and standing. • Use of personal computer and telephone (eye and hand strain). • Ability to lift classroom materials, etc. up to twenty-five (25 pounds.) Benefits and Perks: • A workplace that is meaningful, fulfilling, and enriching; a place where you can grow your career, as well as make a lasting impact on students, fellow co-workers, and the communities in which we serve. • Variable pay range based on education level, teaching experience at DU, and class level. • Flexible hours while earning additional income. • Tuition Remission • Davenport 403(b) Retirement Plan - make pretax contributions to the DU retirement plan directly from your DU paycheck. • Access to Professional Development • Free Parking - Free parking permit each academic year. • Library Services - onsite and virtual • Fitness Center Access - full use of the fitness center, athletic courts, and the indoor track that is located in the student center on the W.A. Lettinga Campus. • Athletic Pass to DU Sporting Events • Bookstore/On-line Spirt Store Discount. To apply, visit https://apptrkr.com/6349734 Copyright ©2025 Jobelephant.com Inc. All rights reserved. https://www.jobelephant.com/ jeid-bfb07be112207f4abc6660ef05cf70aa

Job Advert: Lead Bioinformatics Scientist Job Title: Lead Bioinformatics Scientist Job Type: Permanent Salary: $180,000–$200,000 USD per year + bonus Role Location: Chicago, IL (hybrid role) Visa Requirements: No sponsorship provided. The Company: Our client is an emerging leader within biotechnology, headquartered in the vibrant tech hub of Chicago, Illinois. Their mission is to empower scientists worldwide by accelerating biotech research through innovative DNA sequencing and analysis tools. Every day, thousands of innovators—including Nobel Prize winners, biotech startups, and research labs—rely on their solutions to drive world-changing discoveries in healthcare, sustainability, and beyond. In 2024, they saved researchers 2 million hours, transforming their productivity. Join their dynamic, collaborative team to shape the future of science. Role and Responsibilities: As the Lead Bioinformatics Scientist, you’ll lead the charge in building cutting-edge bioinformatics workflows that power faster, smarter science. Collaborating with a passionate team of scientists, bioinformaticians, and software engineers, you’ll drive innovation and mentor others in a creative, high-impact environment. Your key responsibilities include: • Designing and optimizing high-performance bioinformatics pipelines for processing thousands of daily samples, leveraging tools like Snakemake and cloud deployments. • Innovating sequence analysis workflows for bulk/single-cell RNAseq, differential gene expression, and large-scale genomics, ensuring robust and scalable solutions. • Troubleshooting complex sequencing data challenges, from biological artifacts to platform-specific issues, to ensure reliable outputs. • Developing intuitive web tools (e.g., Streamlit, R Shiny) and data visualizations to transform raw bioinformatics data into actionable insights. • Providing thought leadership and mentoring junior team members, fostering a culture of innovation and collaboration. • Staying ahead of industry trends, integrating emerging bioinformatics tools to enhance our offerings for biopharma and research clients. Job Requirements: • Education and Experience: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related field, with 8+ years of experience developing production-level bioinformatics pipelines. • Required Qualifications: • Deep expertise in analyzing bulk/single-cell RNAseq data and performing differential gene expression using state-of-the-art tools. • Significant experience building production-level Snakemake (or Nextflow) pipelines, with local and cloud-based deployments. • Strong knowledge of sequence analysis (alignment, assembly) and molecular biology, with experience in Oxford Nanopore and Illumina sequencing. • Proficiency in Python (numpy, pandas, Jupyter, Biopython) and package management (e.g., Conda). • Hands-on experience with Docker, Apptainer, or Singularity for containerized workflows. • Expertise in Git/GitHub and Linux shell scripting for version control and automation. • Proficiency in developing intuitive web tools for bioinformatics reporting (e.g., R Shiny, Streamlit). • Familiarity with public genomic data repositories (e.g., NCBI, Ensembl) and large-scale genomic data processing. • Strong communication skills and ability to write clean, maintainable, production-ready code. • Preferred Qualifications: • Experience with compiled languages (C++, Rust) for performant software development. • 1+ year of molecular biology wet lab experience. • Demonstrated ability to develop novel bioinformatics algorithms. • Strong interest in creating intuitive data visualizations for scientific insights. • Benefits: • Competitive Compensation: Highly competitive remuneration. • Generous Time Off: 4 weeks paid time off + 10 paid holidays. • Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health coverage. • Retirement and Wellness: 401(k) with matching, Health Advocate services, and gym membership. • Impactful Work: Contribute directly to accelerating biotech research, supporting novel therapies and sustainability. • Innovative Environment: Work with cutting-edge tools (e.g., Snakemake, Streamlit, AWS) and collaborate with top-tier researchers. • Supportive Culture: Join a passionate, inclusive team that values creativity, mentorship, and professional growth. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Work Schedule Standard (Mon-Fri) Environmental Conditions Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Office Job Description Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies or improving productivity in their laboratories, we are here to support them. Make an impact! This is a key position within the Transplant Diagnostics R&D Bioinformatics team, based in West Hills, CA. The successful candidate will have the opportunity to partner with lab scientists, data analysts, software engineers and domain experts to build pioneering technologies and develop innovative molecular typing and antibody detection products. The successful candidate will develop, improve, and maintain tools, pipelines, and software for the analysis of complex HLA typing data from PCR, microarray, NGS, and antibody detection platforms. This role will work in collaboration with the research staff and other departments, and requires knowledge of data analysis methods, software development, bioinformatics, statistics, molecular biology, as well as the ability to quickly grasp new subject areas. What will you do? • Build software tools, including development and implementation of new computational algorithms using machine learning and statistical models to provide solutions for process automation and data analytics for the R&D and manufacturing teams • Develop pipelines for NGS analysis and other bioinformatics workflows • Build and maintain Bioinformatics web portal for communication and distribution of Bioinformatics tools throughout the Transplant Diagnostics division • Work with IT team to administer Bioinformatics infrastructure to ensure a robust and scalable architecture that effectively supports Bioinformatics software • Search relevant sequence information from external sources for primer and probe design, as well as mining and analysis of genomic libraries and genomes • Analyze and interpret complex experimental results and work hand in hand with laboratory scientists for the research and development of new molecular and antibody products • Actively participate in software development lifecycle, including writing software specifications, code and design reviews, implementing test plans • Regularly communicate accomplishments and progress to team members and management Education / Experience • PhD from an accredited higher learning institution with studies in Computer Science, Bioinformatics, Computation Biology, Life Sciences/Molecular Biology or related field AND 2 years of related postdoctoral or industrial experience; OR master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences/Molecular Biology or related field AND 4 years of related work experience; OR bachelor’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences/Molecular Biology or related field AND 6 years of related work experience • Experience developing analytical software tools using machine learning methods and programming languages, such as C#, Python, and SQL • Experience developing relational databases • Experience in developing web tools and services • Experience with cloud technologies such as AWS and docker Knowledge, Skills, Abilities • Ability to translate scientific and business requirements to build robust and scalable software tools • Proficiency in building and maintaining NGS or other bioinformatics analysis pipelines • Proficiency working in Windows and Linux environments • Pragmatic self-starter who is proactive, self-motivated, team-oriented, and customer-focused with a strong work ethic • Ability to meet deadlines within a dynamic environment and able to handle multiple tasks simultaneously while adapting to changing priorities • Be curious, detail oriented, and analytical, with a proven ability to learn quickly • Sound understanding of statistics, machine learning algorithms, the ability to generate robust predictive models for multidimensional data • Proactively learns products and new projects and stays ahead with Bioinformatics, computational or industry trends • Good verbal and written communication and well-founded problem-solving skills • Demonstrated skills in project management and formal continuous process improvement techniques • Ability to work effectively in collaboration with diverse groups of people Preferred Qualifications • Knowledge of immunology, HLA • Experience administrating a Linux system • Understanding wet lab techniques and principles in the field of Molecular Biology, Genomics, and/or Biochemistry

About Ethos Ethos was built to make it faster and easier to get life insurance for the next million families. Our approach blends industry expertise, technology, and the human touch to find you the right policy to protect your loved ones. We leverage deep technology and data science to streamline the life insurance process, making it more accessible and convenient. Using predictive analytics, we are able to transform a traditionally multi-week process into a modern digital experience for our users that can take just minutes! We’ve issued billions in coverage each month and eliminated the traditional barriers, ushering the industry into the modern age. Our full-stack technology platform is the backbone of family financial health. We make getting life insurance easier, faster and better for everyone. Our investors include General Catalyst, Sequoia Capital, Accel Partners, Google Ventures, SoftBank, and the investment vehicles of Jay-Z, Kevin Durant, Robert Downey Jr and others. This year, we were named on CB Insights' Global Insurtech 50 list and BuiltIn's Top 100 Midsize Companies in San Francisco. We are scaling quickly and looking for passionate people to protect the next million families! About the Role: Ethos is looking for a bioinformatics scientist to join our actuarial and underwriting innovation team. In this role, you will help redefine how life insurers assess mortality risk by applying bioinformatics, survival analysis, and machine learning to novel health and behavioral data. You’ll lead research and model development efforts that go beyond traditional actuarial inputs — integrating signals from clinical biomarkers, medical history, and emerging data sources to create next-generation predictive frameworks. This is a unique opportunity to bring your background in bioinformatics, computational health, or applied statistics into a space that’s ripe for reinvention. You’ll collaborate closely with actuaries, underwriters, data scientists, and engineers to design interpretable, production-ready models that improve both underwriting fairness and accuracy. Ultimately, helping us expand affordable life insurance access to more people. If you're excited about applying scientific rigor to complex real-world risk problems, and want to help modernize an industry from the inside out, we’d love to hear from you. Duties and Responsibilities: • Design and execute studies using novel data to improve mortality risk prediction. • Develop and validate ML and statistical models for mortality scoring. • Partner with Data Science and Engineering to bring models into production. • Collaborate with Actuarial and Underwriting teams to align on validation and impact. • Contribute to the methodology and roadmap of a modern, scalable mortality modeling system. Qualifications and Skills: • You have experience working with medical ontologies, terminologies, or clinical data models that support robust analytical workflows. (e.g., ICD, SNOMED, LOINC, OMOP CDM, etc.) • You’ve applied bioinformatics or statistical modeling techniques to real-world health, biometric, or survival datasets and know how to balance rigor with practicality. • You’re fluent in tools like Python or R, and have experience with machine learning libraries or survival analysis frameworks. • You thrive in cross-functional settings, working alongside actuaries, underwriters, engineers, and product teams and can communicate technical findings clearly to diverse audiences. • You're excited to bring a scientific mindset to an industry ripe for reinvention and are ready to challenge assumptions while building credible, production-ready tools. • MS or PhD in Bioinformatics, Statistics, Biostatistics, Applied Mathematics, Data Science, or similar. • 4+ years of experience in applied statistical modeling or machine learning. • Strong proficiency in Python or R and relevant libraries. • Experience in survival modeling, biomarker analysis, or health risk scoring preferred. • Excellent communication skills and ability to write clearly for technical audiences. The US national base salary range for this full-time position is $133,000 - $236,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include applicable bonus, equity, or benefits. You can find further details of our US benefits at https://www.ethoslife.com/careers/ #LI-Remote Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace. We are an equal opportunity employer who values diversity and inclusion and look for applicants who understand, embrace and thrive in a multicultural world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records. To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

About the Department ​ The Duchossois Family Institute (DFI) focuses on the role of commensal bacteria in enhancing disease resistance and is using genomic and metabolomic platforms to characterize the microbiome and its metabolites. Computational and bioinformatic expertise is required to understand how commensal bacteria impact human health. Bioinformaticians in the DFI perform genomic analyses including genome assembly and annotation and working with computational software programs to analyze microbial genome sequences and characterizing their metabolite utilization and secretion. Job Information​ Job Summary: The job provides basic technical support related to scientific research projects. The position analyzes data and writes weekly reports. Responsibilities: • Contribute to the development of scalable computational infrastructure and data platforms to support the DFI scientific research projects. • Develop bioinformatics pipelines using Nextflow as a proof-of-concept for automation, reproducibility, and provenance. • Contribute to the development of an integrated knowledgebase (Relational Database) integrating different omic data types and clinical data. • Develop Python and Javascript libraries for the visualization of microbiome/metagenome, metabolome and other omic datatypes generated at the DFI. • Develop Python/Flask based Webapp backend to build and support web application exploring DFI data. Competencies: • Cloud Engineering, Bioinformatics tools, Software Engineering tools. • Analytical skills. • Good communication skills (written and verbal). • Works effectively as part of a team. Additional Requirements​​ Education, Experience, or Certifications: Education: • High School Diploma/GED required. • College student in Applied Mathematics, AI, Machine Learning or Software Engineering, preferred. Experience: • 1-2 years of experience in the related field required. Working Conditions and Physical Requirements: • Office environment. Required Documents: • Resume (required) • Cover Letter (preferred) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Benefit Eligibility​ No Requires Compliance with University Covid-19 Vaccination Requirement No Pay Frequency​ Hourly Pay Range Depends on Qualifications Scheduled Weekly Hours​ 40 Union​ Non-Union Job is Exempt No Drug Test Required No Motor Vehicle Record Inquiry Required No Health Screen Required No Remove from Posting On or Before​ 2023-10-21 Posting Statement:​​ Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward. The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

Bioinformatics Analyst III $57+/hr based on location and benefits options 9 month initial contract Fully remote Responsibilities include: • support of computational research priorities associated with oncology drug discovery programs. • This variably entails querying large-scale cancer genomics resources for mutation/expression distributions, assessing internally generated omics datasets to derive biological insights, and investigating mechanisms that may affect clinical outcomes. • Responsibilities also include informing discovery peers on computational opportunities for ongoing programs, providing feedback on experimental design, and communicating results to diverse scientific backgrounds. Other notable details about the environment from the hiring manager about this role. • Support of programs in early to late-stage discovery drug pipeline. What positions/background experience do you feel are successful in this role? • Prior research work in oncology bioinformatics analysis, either in academia or industry What will the interview process be? • Phone screen with hiring managers • Panel interview with research team Qualifications: • A Ph.D. OR a Master’s degree with 1-3 years of industry work experience OR a bachelor’s degree with 6-8 years of experience in bioinformatics, computational biology, genomics, computer science, cancer biology, or immunology is required. • Oncology experience is required, preferably with knowledge of immuno-oncology, immunology, and/or cancer genomics. • Experience with next-generation sequence (NGS) analysis (RNAseq, WES, etc) and a strong understanding of principles behind raw data processing for common NGS data types are required. • R fluency is required, Python competence is preferred. • Experience with Linux, on-premise HPC, or AWS is required. • Strong data visualization skills (ggplot2, plotly, etc) is required. • Exceptional communication and collaboration skills are required. • Experience with single cell platforms, proteomics, spatial omics, CRISPR screens etc is preferred. • Familiarity with public genomics data repositories (Genomic Data Commons, SRA/GEO, ENA/EBI, TCGA, GTEx) preferred. • Prior experience in the pharmaceutical industry or a related field is preferred. Our role in supporting diversity and inclusion As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.