Bioinformatics Jobs

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

Bioinformatics Scientist At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position We are seeking a talented and highly motivated Bioinformatics Scientist to support the development of Roche Diagnostics Molecular Assays that have a global impact on patient care. This role requires a broad understanding of assay development across diverse technologies, including NGS, Nanopore sequencing, and PCR. The successful candidate will collaborate closely with bioinformaticians, wet lab scientists, and external customers to design, implement, and maintain internal algorithms and tools for clinical diagnostic assay development. The Opportunity: • Collaborate with multidisciplinary teams of molecular and computational biologists, as well as wet lab scientists, to design, optimize, and troubleshoot advanced high-throughput sequencing assays and workflows for clinical diagnostic applications. • Contribute bioinformatics expertise throughout the assay development lifecycle, including initial sequencing, validation, and production implementation, by developing and maintaining analytical tools and pipelines for processing diagnostic data from tumor, germline, and cell-free DNA samples. • Create, implement, and streamline bioinformatics tools and workflows in partnership with wet lab scientists to enhance assay development efficiency and data quality. • Provide hands-on troubleshooting to ensure data quality, integrity, and accessibility across the diagnostic workflow, while addressing the needs of internal and external stakeholders through scientific and business analyses. • Advocate for best practices in documenting, training, and scaling algorithms, tools, and workflows to ensure reproducibility and scalability. • Clearly communicate project outcomes and team progress across various teams and organizational functions to promote alignment and collaboration. Who You Are: • You have a PhD or Master's degree in Bioinformatics, Computational Biology, Statistics, or a related field. • You have 6+ years of industry experience in clinical diagnostics or a related domain. • You have expertise in DNA/RNA sequencing data analysis and interpretation. • You are proficient in programming skills in R and/or Python, with experience working in a distributed Linux environment. • You are proficient in creating clear, insightful visualizations of complex biological data, with strong presentation skills to effectively communicate results to both technical and non-technical audiences. • You have a strong understanding of molecular biology principles and hands-on familiarity with next-generation sequencing laboratory processes. Able to work closely with bench scientists to troubleshoot experimental and workflow issues. • You are skilled in writing and maintaining bioinformatics workflows using workflow management systems such as Snakemake or Nextflow. • You have demonstrated the ability to independently develop informatics solutions and contribute to scientific informatics initiatives. • You have a solid understanding of cancer biology and in vitro diagnostics (IVD). Preferred Qualifications: • Proficiency in C++ or Java is a plus. The expected salary range for this position is based on the primary location of Pleasanton, CA. 135,200-251,200. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This position also qualifies for the benefits detailed at the link provided below. Relocation benefits are available for this position. Tagged as: Life Sciences

Join the forefront of groundbreaking research at City Hope where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research. A Staff Scientist position is available for a highly talented bioinformatics engineer to join our computational microbiome team. The successful candidate will contribute to the development and implementation of bioinformatics pipelines. This is an exceptional opportunity for a bioinformatics engineer who is willing to apply his/her expertise to the intersection of human microbiome, immuno-therapy and cancer research. Individuals appointed as staff scientists will receive a one-year fixed-term contract. As a successful candidate, you will: • Develop and implement bioinformatics pipelines. • Integrate pipelines into Snakemake workflow. • Keep pipelines current. • Test pipelines in large scale. • Provide summary report and documentation of pipelines and results. Your qualifications should include: • PhD or MSc. in Bioinformatics, Computational Biology, or related field. • Knowledgeable of Bioinformatics techniques, next generation sequencing data and pipelines. • Ability to implement, develop and modify Bioinformatics pipelines. • Fluent in scientific scripting languages such as R or Python and bash environment. • Fluent in Snakemake. • Strong communication skills. Preferred qualifications: • Experience with microbiome bioinformatics pipelines. • Experience with whole genome sequencing (WGS), whole exome sequencing (WES), RNA sequencing (RNAseq) analysis, and calling of single nucleotide variants (SNVs) and insertions/deletions (indels). • Understanding concepts of molecular biology, genetics, microbiology, immunology. • Understanding statistical analysis techniques for microbiome (alpha-diversity, beta-diversity, dimensionality reduction, clustering, regression models). City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location. City of Hope is an equal opportunity employer. To learn more about our Comprehensive Benefits, please CLICK HERE.

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. We are looking for a highly motivated and capable senior bioinformatics software engineer with extensive experience and interest in developing cutting edge assays and algorithms in the liquid biopsy space (including molecular residual disease testing, therapeutic response monitoring, therapy selection, complete genomic profiling, and diagnostics). Responsibilities: Build and design production-scale bioinformatics pipelines using contemporary tools for processing and analyzing NGS data within cloud-based computing environment Develop novel assays, algorithms, machine learning and statistical models to detect oncology related biomarkers from cell free next-generation sequencing (NGS) data Conduct analyses applying deep genomic and epigenomic knowledge to derive key insights from large multi-modal datasets Execute experiments to characterize performance and support various regulatory submissions. Produce high quality and detailed documentation for all projects. Communicate results with other scientific teams as well as product and bioinformatics leadership. Collaborate with other scientists and engineers Qualifications: Must have completed a Ph.D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology, Cancer Biology, Genetics, Immunology, Molecular Biology, or Computer Science Computational skills using Python and/or R Experience with cloud-based systems such as AWS or Google Cloud Platform Experience with container solutions such as Docker Experience with common workflow languages such as Nextflow, snakemake, etc. Experience interfacing with both scientific and engineering teams Experience with software testing Demonstrated effective communication and presentation skills Self-driven and works well in interdisciplinary teams Illinois Pay Range: $85,000 - $130,000 California Pay Range: $100,000 - $145,000 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, 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. Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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. 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. 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.

Bioinformatics, Field Applications Scientist (FAS) job at Pillar Biosciences. Chicago, IL. We are seeking a passionate and collaborative Bioinformatics Field Application Scientist (FAS) to serve as the primary interface between Pillar's bioinformatics team and external clinical, academic, and biopharma partners. In this customer-facing role, the FAS will be instrumental in ensuring successful adoption, integration, and ongoing support of Pillar's NGS assays and bioinformatics solutions, including the PiVAT software. This position bridges technical expertise in genomics and bioinformatics with excellent communication skills to support implementation, training, troubleshooting, and scientific collaboration. Duties & Responsibilities: • Serve as the bioinformatics subject matter expert during pre- and post-sales support to customers implementing Pillar's NGS assays and PiVAT software. • Deliver technical training, onboarding, and education to customers on library preparation workflow, variant calling workflows, assay interpretation, and regulatory compliance best practices. • Collaborate cross-functionally with internal R&D, Product, Sales, and Customer Support teams to resolve complex bioinformatics and assay performance issues. • Provide scientific guidance on data interpretation, especially for oncology biomarkers (SNVs, InDels, CNVs, fusions, methylation). • Lead troubleshooting efforts for customer data analysis pipelines and variant interpretation reports, assisting with both standard and customized bioinformatics workflows. • Participate in external presentations, webinars, workshops, and conferences to support scientific visibility and customer engagement. • Collect customer feedback to guide product and pipeline improvement efforts. • Maintain strong knowledge of public genomic databases, annotation tools, and current best practices in NGS-based clinical diagnostics. • Travel up to 50-75% to conduct onsite customer trainings. Education & Qualifications: • B.S. in Bioinformatics, Computational Biology, Genomics, or a related field with a minimum of 5 years' experience in a field application role. • Deep understanding of NGS data analysis pipelines, including BWA, SAMtools, GATK, and variant annotation platforms. • Experience with PCR-based sequencing assays and an understanding of assay design considerations. • Strong working knowledge of oncology-related genomic biomarkers and applications in precision medicine. • Familiarity with regulatory and CLIA/CAP requirements for bioinformatics pipelines in a clinical setting is a plus. • Experience using or supporting PiVAT or other NGS clinical reporting platforms. • Familiarity with molecular pathology workflows and LIS/LIMS integration. • Programming or scripting ability (Python, R, Bash) to support custom analysis or troubleshoot pipeline outputs. • Excellent customer-facing skills with the ability to translate complex technical content to diverse audiences. • Proven problem-solving capabilities, especially in troubleshooting bioinformatics pipeline outputs. • Ability to work independently, manage multiple priorities, and thrive in a fast-paced startup environment. Pillar Biosciences aims to "Make precision medicine the first option for every patient" by developing and manufacturing targeted next-generation sequencing (NGS)-based assays and software for today's high-throughput specialty NGS laboratories. We are seeking collaborative and independent problem solvers to support our mission. Pillar Biosciences is an Equal Opportunity and Affirmative Action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; religion; age; nationality; marital status; sexual orientation; disability or any other characteristic protected by law.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Eli Lilly and Company seeks a Bioinformatics Engineer (R3-R6) to create workflows and analyze high-dimensional data. Develop self-service analytics tools to enable and facilitate real-time analysis of scientific data within our research community. Work closely with internal and external partners to find new ways to accelerate bioinformatics work across Lilly Research Labs (LRL). Design and develop full-stack web applications to aid scientists in next-generation sequencing (NGS) analysis. Maintain code repositories, including branch workflows, code reviews, test automation, and deployment. Represent LRL bioinformatics to internal and external partners. #LI-DNI Position requires a Master's degree in Bioinformatics, Information Systems, or a related field and 3 years of experience with web development and working in a Linux or Unix environment. Experience must include a minimum of: 2 years of experience with software development in applied science; 2 years of experience with development and implementation of large-scale informatics production solutions in the cloud using AWS/Azure and Docker; 2 years of experience with implementing bioinformatics pipelines using scalable cloud solutions including Familiarity with Nextflow; 2 years of experience with NGS technology and downstream data analysis, including RNAseq, ATACseq, and ChiPseq; 2 years of experience with designing, maintaining, and implementing relational databases; and 2 years of experience with NoSQL databases. Telecommuting benefit available. Up to 5% domestic travel required. #LI-DNI Job location: Indianapolis, IN. RATE OF PAY: $156,829.00 per year. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-91510 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Matthew Tenaglio, Lilly Corporate Center, Indianapolis, IN 46285. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $156,829 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

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.

Senior Bioinformatics Expert/Scientist within the Quantitative Science and Statistics group. Working in a highly collaborative environment, the successful candidate will build and develop bioinformatics support to next generation sequencing (NGS) technologies and platforms in advancing cell and gene therapy platform. The successful candidate is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.Key Responsibilities:Work as a lead bioinformatics scientist both independently and as a member of cross-functional teams to lead the effort on NGS experimental design, data analysis and interpretation.Develop bioinformatics pipelines for NGS data analysis, data management and enabling data analysis pipelines in routine analysis. Provide troubleshooting and maintenance supports.Produce high quality written documentation including study protocols, data analysis plans and reports.Refine algorithms and tools for sequencing data analysis and propose improvements.Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.Lead bioinformatics pipeline validation and transfer.Support the wider R&D team with general bioinformatics needEssential Requirements:PhD in bioinformatics, computational biology, biostatistics, molecular biology, virology or related discipline.At least 5 years of relevant industry work experience is required.Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis.End-to-end complete life cycle experience in analysis and workflow/pipeline development for major NGS platforms for mutation analysis, genome mapping, variant calling and interpretation.Strong communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams.Ability to set up bioinformatics computation systems from ground up.Experience in virology or viral gene therapy and working experience in GxP environment is considered a plusThe salary for this position is expected to range between $132,300 and $245,700 per year.The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Kelly Government Solutions is seeking a Bioinformatics Scientist to support the National Institute of Environmental Health Sciences (NIH/NIEHS). This position requires regular on-site work on the NIEHS campus in Research Triangle Park, NC and may be eligible for telework if/when authorized. This is a long-term contract position which offers: - Competitive compensation and comprehensive benefit package - Optional health, vision, and dental plans - Paid leave as well as 11 paid federal holidays and 401K plan. - Access to NIH’s unparalleled resources and niche scientific initiatives KEY TASKS (1) Provide bioinformatics expertise and coordinate with teams of biologists to conduct experimental queries and/or perform portions of studies using complex procedures and techniques common to modern bioinformatics. (2) Perform sequencing and alignment of raw data, and interpret new data using larger public access datasets. (3) Conduct analyses on NextGen sequencing data including data derived in ChIP-Seq, RNA-Seq, miRNA-Seq and other experimental models (4) Conduct analysis and interpretation using data from genomic platforms including expression, exon, tiling, promoter and others array types (5) Write utility scripts, macros, and/or custom programs or algorithms in support of biological discovery (6) Participate in the design of new protocols involving computational methods (7) Utilize and adapt existing bioinformatics techniques to check for trends and patterns in the data (8) Work with staff to plan experiments and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and troubleshooting. (9) Establish and maintain workflows including experimental design, analyses of data quality, genome and meta-genome integration and others (10) Prepare scientific reports and progress reports; assemble data to prepare tables, graphs and slides; conduct scientific and program related information searches and report results. KEY REQUIREMENTS (1) Ph.D. in Bioinformatics, Biostatistics, Computational Biology, or related biological/life science discipline (2) Minimum of 5 years of experience that includes next gen sequencing data analysis, multi-omics analysis, single cell RNA-sequencing, and bulk RNA-sequencing (3) Experience working with large data sets (including microarray data) and using R, Python, MATLAB, Linux, Shell scripting, and/or Java (4) Ability to work on-site at NIH/NIEHS in Research Triangle Park, NC

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.