Bioinformatics Jobs

Overview The Laboratory of Dr. Hongbo Chi in the Department of Immunology at St. Jude Children’s Research Hospital is seeking a highly motivated Bioinformatics Analyst to lead the analysis of multi-omics studies in molecular and systems immunology and immuno-oncology. We are particularly interested in understanding the metabolic programs, signaling pathways and systems-level regulatory networks... in basic T cell and dendritic cell biology and antitumor immunity. The Chi Lab is recognized for its expertise in investigating immunologic mechanisms underlying cancer and other diseases, with a track record of publications in top-tier journals such as Nature, Cell, Nature Immunology, Immunity, Nature Cell Biology and Cell Metabolism. Please see the following articles published over the past few years for additional information: Nature Reviews Immunology (2022); Immunity 55:14 (2022); Nature Chemical Biology 18:470 (2022); Nature 607:135 (2022); Nature Cell Biology 24:1642 (2022); Nature 600:308 (2021); Nature 595:724 (2021); Nature 591:306 (2021); Cell 184:1245 (2021); Nature Reviews Immunology 20:55 (2020); Cell Metabolism 32:996 (2020); Nature 565:101 (2019); Nature 576:471 (2019); and Nature 558:141 (2018). In this position, the candidate will perform cutting-edge computational analyses of multi-omics datasets derived from immune and other (e.g. tumor) cells. The candidate will work closely with other lab personnel including systems immunologists. These efforts will involve highly integrative studies consisting of comprehensive bulk and single-cell omics datasets, including RNA-seq, ATAC-seq, ChIP-seq, CUT&RUN, proteomics, and CRISPR screening. A deep understanding of immunology, genetics or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in NGS data analysis is critical for this position. This individual is expected to have the capacity to execute proficient computational analyses and troubleshoot independently, to communicate effectively with the PI, scientists, postdocs, and other collaborators, and to thrive in a highly collaborative team environment. Take advantage of this opportunity to leverage your skills in bioinformatics and help save lives of children from all around the world! This position is an on-site job located in Memphis, TN, and relocation assistance is available. Minimum Education • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree preferred. Minimum Experience • Minimum Requirement: 2+ years of relevant experience required. • Experience Exception: Master's degree and no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. • Experience in next-generation sequence analysis or imaging analysis is preferred. • Experience in working with high-throughput data sets in a highly competitive environment is preferred. • Experience in working in a team project is preferred. • Cross training in biological sciences (e.g. genomics, immunology, transcriptomics and epigenetics) is preferred. • Scripting experience using a statistics package such as R is preferred. Other Information St. Jude is an Equal Opportunity EmployerNo Search Firms: St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.COVID-19 vaccine: St. Jude Children’s Research Hospital has mandated the COVID-19 vaccine for all employees, excluding those with an approved medical or religious accommodation, as a condition of employment. 50276

We are seeking talented and motivated bioinformatics specialists (Biostatistician 1) for Research Scientist positions at 100% FTE for a 2 year fixed term (possibility for renewal). The successful candidates will have expertise in bioinformatics/systems biology with a focus on analyzing omics data, including gene expression profiling, and will work in Dr. Bali Pulendran's, laboratory at the... Institute for Immunity, Transplantation, and Infection at Stanford University. The individuals will join a dynamic, interdisciplinary group of researchers including immunologists, vaccinologists, clinicians, and bioinformaticians, to address major global health issues relating to vaccines and infectious diseases, funded by the National Institutes of Health and the Bill and Melinda Gates Foundation. The successful applicants will perform integrative analysis of omics profiling of the transcriptome, epigenome, and metabolome to discover biomarkers of vaccine efficacy and new biological insights about the human immune system. The successful candidates will both lead and collaborate on projects aimed to using systems biological approaches to define the correlates and mechanisms of immunity to vaccination. • Analyze and integrate omics datasets from multiple platforms (single cell RNA sequencing, single cell ATAC-sequencing, multidimensional flow cytometry and metabolomics). • Work with a multi-disciplinary team of immunologists, clinicians and bioinformaticians to apply novel and complex statistical approaches to immunological data generated in clinical studies. • Contribute to the development of bioinformatics workflows and pipelines. • Collaborate with experimental immunologists in the analysis and visualization of omics data. • Maintain a database of omics data generated in the lab. Duties include: • Design study. • Implement protocol for quality control. • Create analytic files with detailed documentation. • Implement data analysis through statistical programming. • Present results for investigators using graphs and tables. • Summarize findings orally and in written form. • Participate in the preparation of papers for publication. • - Other duties may also be assigned DESIRED QUALIFICATIONS: The qualified applicants will have: • An MS.C Ph.D. in bioinformatics, computational biology, computer science, or in a relevant biological discipline. • Demonstrated experience in bioinformatics research, focusing on transcriptional profiling and predictive modeling. • Familiarity with working in a Linux/Unix environment; experience is Linux system administration and hardware configuration is a plus • Experience with development and maintenance of relational databases • Fluency in at least one programming language (R, Python, Perl, Matlab) • Adequate knowledge of molecular biology, and intention to deepen and improve his/her understanding of these fields. Knowledge in immunology is preferred though not essential. • Expert knowledge of bioinformatics applications and biological databases • Strong quantitative or statistical background, experience in machine learning and predictive modeling are highly desirable. • Excellent verbal and written communication skills. EDUCATION & EXPERIENCE (REQUIRED): Master's degree in biostatistics, statistics or related field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Proficient in at least two of R, SAS, SPSS, or STATA. • Skills in descriptive analysis, modeling of data, and graphic interfaces. • Outstanding ability to communicate technical information to both technical and non-technical audiences. PHYSICAL REQUIREMENTS*: • Frequently perform desk based computer tasks, seated work and use light/ fine grasping. • Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended or non-standard hours based on project or business cycle needs. WORK STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu. The expected pay range for this position is $89,000 to $105,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy Additional Information • Schedule: Full-time • Job Code: 5521 • Employee Status: Fixed-Term • Grade: H • Requisition ID: 98221

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 35,000 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. Organization Overview: At Lilly, we serve an extraordinary purpose. For more than 140 years, we have worked tirelessly to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world’s greatest health challenges. We are seeking a highly motivated bioinformatics scientist to join our team to contribute to high visibility research on RNA therapeutics. The Genetic Medicine team is an innovation-focused group working to identify, develop and apply cutting-edge technologies to deliver maximum benefit to our patients. Our computational team collaborates with experimental scientist from diverse backgrounds, and contributes to study design and protocol development that accelerates discovery. The successful candidate will be responsible for analyzing high-throughput sequencing data (e.g. RNA-seq, smRNA-seq, scRNA-seq) to extract biological insights such as function and therapeutic strategy. The candidate will work closely with experimental and computational scientists to develop study design, analyze data, and present results. Key responsibilities: • Analyze high-throughput sequencing data to extract biological insights • Partner with others in the group to develop new analysis tools, pipelines, and methodologies • Collaborate effectively with experimental and computational scientists to design studies and develop protocols • Perform quality control analysis and troubleshoot any issues • Perform differential expression analysis, pathway analysis, gene set enrichment analysis to identify biological processes and pathways affected by RNAi based therapeutics • Generate visualizations and reports to communicate results to stakeholders • Participate in scientific discussions and present results to the team Basic Qualifications • PhD degree in bioinformatics, computational biology, computational genomics, integrated biomedical sciences, or related field • 3+ years of work experience in RNA-seq data analysis Additional Skills/Preferences • Expertise in systems biology, bioinformatics and genomics • Self-directed and highly motivated individual who wants to learn new techniques • Strong communication (oral and written) skills and ability to work collaboratively in a team-oriented environment • Proficient in data analysis and reporting • Strong problem-solving skills and ability to troubleshoot issues • Extensive experience in solving scientific problems using programming languages, programming skills in at least one language relevant to data analysis such as Python or R • Experience working with High-Performance Computing and/or Cloud environment • Experience with next generation sequencing data analysis • Experience with RNA-seq analysis tools such as STAR, HISAT2, DESeq2, edgeR • Experienced with gene expression data analysis / transcriptomics • Deep understanding of nucleic acid, cellular and/or molecular biology • Understanding of the biological principals underlying RNAi based therapeutics • Demonstrated knowledge of genetics and molecular biology, particularly relating to RNA • Experience in algorithm development, statistics, data management, data mining, machine learning, data visualization, and/or analytics are all a plus • Experience with RNA-based or gene editing therapies highly preferred Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, 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 help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law). #WeAreLilly

The Senior Director for Computational Biology within the GRC at AbbVie, a Fortune 50 Company, will be responsible to lead a global team of Computational Biologists and bioinformatics engineers to collaboratively drive Drug Discovery and Development efforts across all therapeutic areas. This leader will leverage modern digital technologies to collect real-world, longitudinal, and integrative... health data, across genomic, digital, and laboratory assays, and focused on relevant populations for or treated with AbbVie therapeutics. Reporting into the Vice President of Genomics Research and Data Integration at AbbVie, this Senior Director will play a key role in building and leading a multi-disciplinary team focused on leveraging over 1 million genomes, cutting-edge OMICS data, deep clinical data, and large real-world data sets to advance and accelerate AbbVie’s pipeline and have a remarkable impact on patient lives. • The Senior Director will build and maintain world-class computational biology and bioinformatics capabilities enabling cutting edge science in close collaboration with Drug Discovery and Development by driving a future-fit strategy to achieve scientific and culture goals across the Corporation. • The successful candidate will be a member of the Genomics Research Center Leadership team and collaborate with a diverse and interdisciplinary team of scientists from human genetics/biology, molecular biology, biochemistry, biostatistics/statistical genetics, and clinical backgrounds to generate and implement impactful analytical strategies to enable existing and new therapeutic opportunities, both internal and evaluation of external opportunities • As part of their role the successful candidate will ensure scientific excellence and the use of best practices across teams, identify project targets and/or innovative technologies and prioritize within the context of overall strategy, resource availability, competitive dynamics, and functional goals. • Department leadership responsibilities will include leading the science while coordinating resources across programs and teams and managing a team of computational leaders and 50+ scientists enabling the teams to accomplish their long and short-term goals in collaboration with Vice President of Genomics Research and Data Integration along with other senior leaders. • Exemplify advanced knowledge level, perception, and intuition across a broad range of drug discovery and development projects. • Work with the Data Integration (Convergence) Program to drive and leverage a novel, forward thinking knowledge platform. • Leverage world-class resources, large data sets and a gifted team to lead a program that is internationally recognized in academia, biotech and large pharmaceutical companies for driving the application of AI/ML to large data sets. • The Senior Director will build and maintain world-class computational biology and bioinformatics capabilities enabling cutting edge science in close collaboration with Drug Discovery and Development by driving a future-fit strategy to achieve scientific and culture goals across the Corporation. • The successful candidate will be a member of the Genomics Research Center Leadership team and collaborate with a diverse and interdisciplinary team of scientists from human genetics/biology, molecular biology, biochemistry, biostatistics/statistical genetics, and clinical backgrounds to generate and implement impactful analytical strategies to enable existing and new therapeutic opportunities, both internal and evaluation of external opportunities • As part of their role the successful candidate will ensure scientific excellence and the use of best practices across teams, identify project targets and/or innovative technologies and prioritize within the context of overall strategy, resource availability, competitive dynamics, and functional goals. • Department leadership responsibilities will include leading the science while coordinating resources across programs and teams and managing a team of computational leaders and 50+ scientists enabling the teams to accomplish their long and short-term goals in collaboration with Vice President of Genomics Research and Data Integration along with other senior leaders. • Exemplify advanced knowledge level, perception, and intuition across a broad range of drug discovery and development projects. • Work with the Data Integration (Convergence) Program to drive and leverage a novel, forward thinking knowledge platform. • Leverage world-class resources, large data sets and a gifted team to lead a program that is internationally recognized in academia, biotech and large pharmaceutical companies for driving the application of AI/ML to large data sets. AbbVie is an equal opportunity employer including disability/vets. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran or active duty wartime or campaign badge veteran or a person’s relationship or association with a protected veteran, including spouses and other family members, or any other protected group status. We will take affirmative action to employ and advance in employment qualified minorities, women, individuals with a disability, disabled veterans, recently separated veterans, Armed Forces service medal veterans or active-duty wartime or campaign badge veterans. The Affirmative Action Plan is available for viewing in the Human Resources office during regular business hours

Job Description About the Opportunity SeqMatic is seeking a bioinformatics research associate to join our sequencing service team. The position requires a strong background in bioinformatics or a related science, particularly analyzing NGS data. Responsibilities include but are not limited to: * Data QC of NGS sequencing data * RNA-Seq analysis * scRNA-Seq analysis * Custom bioinformatic... analysis * Generating data QC and analysis reports * Organize and maintain experimental records and lab procedures; * Communicate in person and electronically with customers and team members; Qualification Requirements: * B.S. or M.S. in Bioinformatics, Computational Biology, Biostatistics or a related science; * Experience with a scripting language (Python, R, Perl, Bash, Java, Javascript) is required * In depth experience working in a Unix/Linux Environment is required * Experience working with next-generation sequencing preferred, particularly Illumina or 10X Genomics libraries * Knowledge of bioinformatic software tools for processing next-generation sequencing data or similar (e.g. bowtie, STAR, samtools, cellranger or related software) * Experience working with large-scale biological datasets and with high-performance computing (e.g. AWS) a plus * Proficient using MS Office Software * Ability to work well under pressure and to meet deadlines; * Ability to work independently and with a team; * Must be detail-oriented and have strong analytical skills; Company Description SeqMatic is a San Francisco Bay Area based Illumina and 10X Genomics certified service provider of Next Generation Sequencing (NGS) services. We offer comprehensive NGS services with unparalleled customer service and fast turnaround time. Our scientists specialize in tailoring each project to satisfy specific customer needs for high quality data with expert and friendly service. Our mission is to help our customers accelerate advances in drug discovery, precision medicine and clinical diagnostics. SeqMatic is a small but fast-growing company with a family environment and culture where customers and team members are respected and supported, your voice matters, and have realistic opportunities for career development. We offer a competitive salary, 401K with match and complementary medical/dental/vision benefits. Company Description SeqMatic is a San Francisco Bay Area based Illumina and 10X Genomics certified service provider of Next Generation Sequencing (NGS) services. We offer comprehensive NGS services with unparalleled customer service and fast turnaround time. Our scientists specialize in tailoring each project to satisfy specific customer needs for high quality data with expert and friendly service. Our mission is to help our customers accelerate advances in drug discovery, precision medicine and clinical diagnostics. SeqMatic is a small but fast-growing company with a family environment and culture where customers and team members are respected and supported, your voice matters, and have realistic opportunities for career development. We offer a competitive salary, 401K with match and complementary medical/dental/vision benefits

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 computational biology efforts that help the Regeneron Genetics Medicines group develop next generation therapies in gene editing, gene suppression, gene expression, and... gene insertion. In this role, you will work on projects that use innovative 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 our therapies, and develop novel algorithms to enable their tissue-specific expression. 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, metabolic diseases, and hearing loss, that directly impact the lives of patients. As a Sr. Scientist, Bioinformatics, a day might include: the following: • Leading computational biology efforts in genetic medicines by analyzing RNA-seq data to understand drug mechanism, efficacy, biodistribution, and immunological response. • Developing algorithms using concepts in gene regulation, synthetic biology, and machine learning to design new AAV payloads for cell type- and tissue-targeted expression. • Discovering new nucleic acid modifying enzymes by mining metagenomic datasets. • Building tools to characterize RNA transcripts using long-read sequencing. • Collaborating extensively with wet-lab biologists to 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 you: • 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. • Like working at the interface between computation and experiments. • Have a strong computational background and enjoy building new methods. • 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. You must also have experience conducting bioinformatics analysis at either the gene or sequence level and have a strong background (3+ years) in R and/or Python. Previous experience or familiarity with NGS technologies and 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 and with analyzing large datasets is also highly valued. #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

Bioinformatics Analyst Interested in building a career in life sciences? An exciting mid-size Pharmaceutical company on the west coast is looking for talented Bioinformatics Analyst! The opportunity is a fully remote, 6 to 12 month contract-to-extend with benefits. There is an Oncology emphasis but all therapeutic backgrounds are encouraged to apply... The Bioinformatics Analyst will be responsible for: · Leading computational biology and data analysis efforts · Partnering with team members to develop robust data analysis pipelines · Communicating strategies and progress to cross-functional management · Integrating and interpreting heterogenous & noisy datasets from ongoing clinical trials The Bioinformatics Analyst should have the following qualifications: · Master's Degree in scientific discipline · Proficiency with R & Python with working knowledge of AWS · Experience with PowerBI, Tableau, or Splunk · 5+ years experience in the Life Sciences Benefits: · Opportunity for growth at an exciting Pharmaceutical company · Fully remote · Competitive pay rate If you are interested in the Bioinformatics Analyst role, then please don’t wait to apply. Please note this role is only offered on a W2 basis through EPM Scientific

The Position Roche Sequencing Solutions (RSS), a business within Roche Diagnostics, focused on developing a disruptive Next-Generation Sequencing (NGS) platform along with a portfolio of reagents, assays and informatics solutions for multiple disease areas. We are looking for a Principal Bioinformatics Scientist in the NGS Algorithms and Applications team to support the algorithm development... efforts. In this role, you will collaborate closely with assay scientists, software engineers and other bioinformatics scientist and apply your strong knowledge in next generation sequencing technologies. This will include illumine SBS (sequencing by synthesis), nanopore, etc. to design and develop algorithms for read processing, alignment, and variant (SNV, SV, insertions/deletions, CNV, TMB, MSI) callers etc. This will be used in our products that will affect patient care. Responsibilities: • Lead algorithm development effort for NGS applications including conceptualization, method development and implementation of production level algorithms in an Agile environment. • Follow software development process and deliver and maintain documentation that explains why and how as well as the final design for scientific, marketing, and regulatory uses • Present internally or externally (peer-reviewed publications or conference proceedings) and communicate updates across multiple functions in the organization. Transfer algorithm to production teams and provide scientific support for updates and maintenance • Support bioinformatics pipeline to continue development for existing products Qualifications: • PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or other quantitative field combined with 4+ years’ experience of designing novel algorithms for NGS data analysis for example read processing, variant calling (SNV, insertions/deletions, CNV, SV, TMB, MSI etc.), variant annotation and analyzing large scale complex genomic datasets. • Experiences in developing novel algorithms, complexity analysis, as well as demonstrated skillset in statistical and mathematical modeling is a Must. • Experience implementing high-quality and efficient product level code. • In depth knowledge of sequencing (long and/or short read), cancer molecular biology, bioinformatics tools, statistical methods. • Proficient with programming languages (C++ and/or Python) in a distributed Linux environment • Experience with Machine learning / Deep learning (used in NGS context) is a plus. • Hands-on experience using a workflow management system such as Nextflow or Snakemake, using Docker and cloud computation resource and storage • Strong written and verbal communication skills with ability to adjust to technical and non-technical audiences • Result-oriented individual that thrives in collaborative multi-disciplinary teams. Excels at incorporating feedback in a professional manner. • One or more first/co-first author publication(s) in a high-impact peer reviewed journals is highly desired. Relocation assistance is not available for this role. The expected salary range for this position based on the primary location of Pleasanton CA is $111,000-$206,100. 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. Benefits Who we are At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity. Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. If you have a disability and need an accommodation in connection with the on-line application process, please email us at US.Accommodation@roche.com

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 35,000 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. The scientific data and informatics group in Lilly Genetic Medicines is looking for a create and energetic computational scientist to participate in wide range of activities. The scientist will collaborate with a growing team comprised of chemists, biologist, bioinformaticians, geneticists and data scientists aimed at developing and enhancing in-silico capabilities for new modalities. This position presents an opportunity to support various stages of drug development from target identification to clinical candidate selection. Responsibilities: • Develop new computational/data science methodologies to improve the preparation, retrieval, analysis, and summarization of scientific data • Partner with business/research teams to identify/scope and execute data analytics efforts to answer scientific questions. • Maintain a strong communication and be fully engaged with scientists to ensure scientific delivery. • Support ongoing drug discovery projects through data analysis, tool and model development • Support the development & evaluation of new modalities from a target evaluation perspective. Minimal Qualifications: • Minimum PhD. in bioinformatics, chemoinformatics, computer sciences, biostatistics, or related field with minor in a biology/medical field. Additional skills: • Proficient in one or more scripting languages: Python, C++, PHP • Hands on experience in large scale data analysis in cheminformatics, biophysics, proteomics, genomics • Basic knowledge in genomes and transcriptomes. • A solid understanding of data science methodologies and application of these in solving drug discovery problems • A proven track record of development and independent implementation of widely used scientific applications/scripts/data sources • Global understanding of the drug discovery process and the different data resources available • Knowledge in web development is a plus • Excellent oral and written communication skills and the ability to effectively communicate across different cultures in the global scientific community • Ability to prioritize multiple activities and manage ambiguity. Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, 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 help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law). #WeAreLilly

We seek a talented, energetic, and collaborative bioinformatician to design bioinformatics pipelines and analyze multi-platform data as part of the development of our flagship platform A 3 D 3 a: Adaptive, AI-augmented, Drug Discovery and Development. With expertise in genomics and the design and deployment of bioinformatics tools, the Data Scientist - Bioinformatics will inform our mission to... discover novel therapies for cancer patients. Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A 3 D 3 a platform is part of the new initiative in Therapeutics Data Science and part of our ambitious Institute for Data Science in Oncology at MD Anderson. A 3 D 3 a will accelerate the discovery and impact of novel therapies for cancer by enabling novel opportunities for optimized therapies for patients with a focus on rare and hard-to-treat cancers through the development of novel machine learning and AI technologies. Central to this vision, the Data Scientist - Bioinformatics will innovate and deploy bioinformatics approaches to uncover hidden therapeutic opportunities in integrated patient data and will work closely with biologists, data scientists and clinicians. JOB RESPONSIBILITIES • Carry out preparation, clean-up, and quality control of biological data, including whole exome sequencing, whole genome sequencing, and RNA sequencing from both bulk and single-cell datasets • Develop and maintain pipelines for bioinformatics and statistical analyses of aforementioned data types; activities to include handling raw data, evaluating outputs, optimizing parameters and summarizing findings • Deploy bioinformatics pipelines in high performance computing environments • Visualize data and interpret results, including implementation of approaches such as variant calling, functional annotation, gene set enrichment, and pathway annotation • Maintain knowledge of latest bioinformatic approaches and genomic technologies and implement these where appropriate • Present results at multidisciplinary project meetings • Produce output for scientific publications and co-author said publications • Prepare written reports, manuscripts, and grant applications with investigators • Work closely with the team and collaborators to discover novel therapeutic opportunities for cancer patients EXPECTED SKILLS • Deep knowledge of bioinformatics tools and their implementation as part of pipelines, particularly for whole genome sequencing, whole exome sequencing, and RNA sequencing data, in both bulk and single-cell contexts • Demonstrated experience and understanding of genomic technologies and analysis of data generated • Analyzing and interpreting outputs to identify insights and hypotheses from data • Understanding of essential statistical methodologies required for bioinformatics analyses • Addressing challenges in bioinformatics as well as mitigation strategies including bias, batch correction, etc. • Applying data clustering (e.g., t-SNE, UMAP, novel approaches) and basic machine learning techniques to complement bioinformatic analyses • Utilizing High Performance Computing to run large-scale analyses • Deploying pipelining tools (e.g., Nextflow or similar) • Unix, R, Python or other scripting/programming languages EDUCATION: Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Preferred: PhD in Natural/Medical sciences or computational biology, ideally with postdoctoral experience EXPERIENCE: Required: Three years experience in scientific software development/analysis. With Master's degree, one years experience required. With PhD, no experience required. Preferred: One year of postdoctoral experience It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information • Requisition ID: 157058 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Day/Evening • Minimum Salary: US Dollar (USD) 84,500 • Midpoint Salary: US Dollar (USD) 105,500 • Maximum Salary : US Dollar (USD) 126,500 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Hybrid Onsite/Remote • Pivotal Position: Yes • Referral Bonus Available?: Yes • Relocation Assistance Available?: Yes • Science Jobs: Yes