Bioinformatics Jobs

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human... condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Senior Bioinformatics Programmer. In this role, the successful candidate The Leon H Charney Division of Cardiology of the NYU School of Medicine is seeking a highly motivated, enthusiastic and creative individual to become part of a team of scientists investigating the genomic and epigenetic mechanisms of cardiovascular development and disease using computational approaches. The successful candidate will have the opportunity to work on various types of large datasets generated from next-generation sequencing methods including single-cell approaches and will interact with our experimental collaborators. The successful candidate will also interact with a vibrant group of bioinformaticians in the Applied Bioinformatics Laboratories (http://nyulmc.org/abl). ABL provides computational support and expertise to promote innovative cutting-edge research conducted by principal investigators at NYU Langone Health. This is a great opportunity to quickly acquire new skills, develop and publish new tools and methods, analyze challenging datasets and be a co-author in multiple studies. Job Responsibilities: • Perform other duties as assigned • Work closely with bench scientists to understand and help accomplish their research goals • Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing) • Perform robust data quality control and validation • Adapt genomic data analysis pipelines in a rapidly evolving research environment • Develop novel methods for multi-omics data analysis and integration • Integrate different types of genomics data and prepare concise presentations of computational results • Design, implement, execute standard pipelines for routine genomics data analyses, and customized pipelines for collaborative research projects Minimum Qualifications: To qualify you must have a Ph.D. or M.Sc. in Bioinformatics, System Biology, Computer Science or related field. Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer and/or stem cells). Ability to work independently while collaborating and assisting the team in its common research goals. Attention to detail and ability to work on multiple projects is necessary. Experience in Unix/Linux systems including HPC environments. Scripting languages: Python (preferred) or Perl. Statistical packages: R (preferred) or Matlab. 3+ years of experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq). 3+ years of experience creating customized sequencing analysis pipelines. Excellent communication skills with proficiency in written and oral English. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $81,325.15 - $116,600.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

The Principal/Lead Bioinformatics Research Scientist functions independently to coordinate large-scale bioinformatics projects, providing project oversight, scientific and technical advice, programming support, and other input as required to achieve established objectives. Coordinates the specialized expertise of bioinformatics colleagues to achieve scientific objectives. Establishes best... practice recommendations, creates educational materials, and participates in educational initiatives at the laboratory, departmental, and/or institutional level. The new Department of Host-Microbe Interactions is seeking a talented and highly motivated Principal Bioinformatics Research Scientist or Lead Bioinformatics Research Scientist with extensive experience in large-scale microbial genomic data analysis to create and direct the new Microbial Computational Genomics and Bioinformatics Laboratory at St. Jude Children’s Research Hospital. The Microbial Computational Genomics and Bioinformatics Laboratory's mission is to support initiatives on microbial genomic, phylogenomic, and computational needs of researchers in the Department of Host-Microbe Interactions and the Center for Infectious Disease Research. The laboratory is a major initiative backed by substantial support as a part of our institutional strategic plan and will be fully integrated with research in microbial evolution, microbial pathogenesis, virology, the microbiome, computational biology, and data sciences at St. Jude Children’s Research Hospital. The focus of this position is on bacterial and viral genomics, using specimens and data obtained from our healthcare system to address key questions such as the acquisition of antimicrobial resistance, genome heterogeneity, outbreaks, transmission, and the identification of potential targets for the generation of novel therapies. This will be achieved using a combination of approaches, including: short-and long-read whole genome sequencing; phylogenomic, transcriptomic, and bioinformatics approaches involving electronic health data; and experimental data generated by collaborating partners. Data analysis will focus on answering clinical questions, generating insights to prevent infections, and building predictive models of disease susceptibility. The successful candidate will assemble a team of Ph.D.- and MS-level bioinformaticians and data scientists to analyze and interpret newly generated as well as existing large collections of microbial whole-genome sequences and metagenomes, using cutting-edge bioinformatics approaches to address project aims. The director will present research findings at project meetings, scientific conferences, and outreach/training events. There will be opportunities to initiate new projects and collaborate with other groups at St. Jude, including clinicians, basic scientists, and data scientists. The ideal candidate should have: • A PhD and extensive postdoctoral experience in microbial genomics, phylogenomics, bioinformatics, computational biology, and data science. • A strong CV that includes high-profile publications in the field of computational biology and microbial genomics. • Extensive expertise in analyzing, interpreting, and visualizing microbial genomics and microbiome datasets generated by high throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) whole genome sequencing. • Extensive experience performing statistical analyses of large microbial genomic datasets and validation of genomic pipelines. • Expert-level proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. • Preferably, proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git). • Preferably, experience with database management systems such as MySQL. • Extensive expertise in data integration and harmonization. • Possess a deep understanding of essential bioinformatics concepts and algorithms, e.g., alignment, SNP nucleotide calling, classification of nucleotide and protein sequence, phylogenetics, and genomic assembly. • Previous experience working in the field of infectious diseases is preferred. • Proven problem-solving skills and collaborative nature in fast-paced environment. • Excellent communication and presentation skills. Responsibilities: • Develop and apply state-of-the-art computational approaches to characterize and assemble microbial genomes and metagenomes. • Attract, recruit, and supervise staff to create a strong team for the operation of the Microbial Computational Genomics and Bioinformatics Laboratory. • Collaborate with the St. Jude Children’s Research Hospital data science initiative to develop computational pipelines for handling large, complex genomic datasets requiring custom approaches to accommodate project-specific analytical requirements. • Interface and collaborate with the IT department to develop and maintain capabilities for analysis, interpretation, and storage of the genomic data. • Maintain a high level of professional expertise through familiarity with scientific literature and scientific networking. • Create and implement educational and outreach programs to enhance microbial genomics capabilities and usage within the St. Jude Children’s Research Hospital community. • Train MS and PhD level graduate students in microbial computational genomics. • Collaborate and enable external funding applications. 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 or PhD preferred. Principal Bioinformatic Research Scientist Minimum Experience: • Minimum Requirement: Bachelor's degree with 13+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 11+ years of relevant post-degree experience (OR) PhD with 8+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Lead Bioinformatic Research Scientist Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $138,320 - $262,080 per year for the role of Principal/Lead Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No 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

Summary The KLemon Lab at Baylor College of Medicine is hiring a bioinformatics analyst l. Our long-term goal is to identify bacterial strains and compounds that will be leads for new approaches to prevent and treat infections due to nasal bacterial pathobionts and respiratory viruses. To achieve this, we are elucidating the molecular mechanisms of interspecies interactions in the human nasal... microbiome. The bioinformatics analyst I will perform bioinformatic analysis on human nasal microbiota data and human nasal organoids. A complete application includes a CV, examples of your work on GitHub, the names and email addresses for three references and a cover letter. Job Duties Work closely with the Bioinformatics Manager to: • Research, assess, and test third-party bioinformatic workflows and software. • Establish, test, and improve bioinformatic workflows. • Establish a custom database to storage and process data generated from Human Nasal Organoid wet-lab experiments. • Use computational analyses and biological interpretation of results to review existing data and propose improvements. • Ensure proper documentation, accuracy and storage of all data generated using bioinformatic tools. Assist microbiologists in lab to learn documentation skills and to perform basic bioinformatic analyses using workflows. • Maintain computational resources in the lab, which includes taking the lead on troubleshooting any hardware, software, or platform issues and interfacing with BCM IT and outside software/hardware vendors. • Take the lead both on producing data that generates new hypotheses and on testing hypotheses using bioinformatic analyses with a focus on bacterial phylogenomics, pangenomics, and metapangenomics to generate data for publication. Then, as needed, assist with key experiments to test hypotheses generated. • Write publication quality methods and results for both main and supplemental figures and tables that result from bioinformatic data analysis. This includes appropriate citations, which requires reading both the bioinformatic and microbiological literature related to the project. Prepare publication-quality final figures of bioinformatic data, along with figure legends. • Participate in weekly lab meetings, subgroup meetings, and meetings with PI. Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • No experience required. Preferred Qualifications • Master’s degree in a field listed above or a related field. • Three years of research experience using bioinformatics for microbiome or bacterial or bacterial-host research can substitute for preferred education experience. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 18501

Bioinformatics Data Scientist In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By... joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace. Work you'll do The Bioinformatics Data Scientist will work closely with our team of senior bioinformaticians and epidemiologists on projects within our Federal Health sector. In this role, you will be responsible for: • Managing and analyzing large genomic databases from epidemiological and clinical studies. • Data manipulation, algorithmic implementation, statistical programming, and integrated genomic analyses. • Installing, troubleshooting and running analytical pipelines using open-source and commercial scientific software on Unix/Linux and Cloud-hosted platforms, and using publicly available bioinformatics and genomic databases and tools. The team Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights. Qualifications Required: • Masters degree in Biomedical Sciences, Computer Science, Engineering, Mathematics or other health-related field • Active Public Trust Security clearance • 2+ years of experience with in the field of Biological and Biomedical Sciences • 2+ years of experience with analysis packages and programming languages such as R, Python, SPSS, SQL, and SAS • 2+ years of experience with scientific research methods as applied to quantitative data analysis • 2+ years of government or management consulting experience in the federal health sector • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: • PhD in Biomedical Sciences, Computer Science, Engineering, Mathematics or other health-related field • Active government security clearance • Prior government consulting experience • Knowledge of machine learning, data mining, and statistical modeling • Strong problem solving and troubleshooting skills with experience exercising mature judgment • Experience in whole exome/genome sequencing analysis (such as mutation, copy number and structural variant calling), mutational signatures, tumor evolution, and epigenetic analysis • Familiarity and established working knowledge of tools to investigate cancer genomics with publicly available data sources (such as dbGaP, TCGA, ENCODE, 1000 Genomes, TARGET, GTEX, gnomAD, cBioPortal) Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law

The primary purpose of the Associate Data Scientist is to leverage the capabilities of next-generation sequencing data to drive forward the discovery and development of novel therapeutics for cancer patients. This crucial role is centered on analyzing and interpreting intricate genetic information at the single-cell level to identify unique biomarkers and understand tumor heterogeneity. By... crafting advanced computational tools and algorithms, the Associate Data Scientist will play a crucial part in accelerating scientific discoveries and contributing to the development of new therapies and diagnostics that can transform patient care and health outcomes. Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a 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. A3D3a 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. JOB SPECIFIC COMPETENCIES • Carry out preparation, clean-up, and quality control of biological data, including scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities, • 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. • Collaborate with interdisciplinary teams to design experiments and analyze data from various single cell platforms. • Maintain knowledge of latest bioinformatic approaches and variety sequencing technologies, especially in single-cell context. • 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 scRNA-Seq, scATAC-Seq, Spatial transcriptomics and/or other multi-dimensional omic data modalities. • 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 such as bias, batch correction, etc. • Utilizing High Performance Computing to run large-scale analyses. • Unix, R, Python or other scripting/programming languages. • Other duties as assigned. COMPETENCIES • With Inclusion, you understand that your ideas and contributions are valued. You promote the same for others. You address your own biases while promoting diversity and equity. (Competencies: Cultural Humility, Cultural Awareness, Cultural Intelligence) • With Drive, you see that you can serve as a leader whether you have a formal leadership role or not. You tackle problems, move past setbacks and hardships, and don't lose sight of your goals. (Competencies: Self-Confidence, Analytical Thinking, Innovative Thinking, Technical Expertise) • You demonstrate Professionalism by setting the example for others and consistently modeling MD Anderson's values and service standards. You communicate effectively in a variety of ways. (Competencies: Inspire Trust, Oral Communication, Written Communication) • Through Emotional Intelligence, you maintain awareness of your own emotions and the emotions of those around you. Use nonverbal cues and feelings to engage others in an inclusive and responsive way. (Competencies: Active Listening, Teaming, Self-Reflection) • Having Coachability means you are engaged in relentless learning. You constantly ask questions and stay curious. You understand that the organization constantly evolves, and you should as well. (Competencies: Develop Oneself, Adaptability) Working Conditions Laboratory environment This position requires: Working in Office Environment ____No __X_ Yes Working in Patient Care Unit (e.g., Nursing unit; outpatient clinic) _X_ No ____ Yes Exposure to human/animal blood, body fluids, or tissues __X__No __ Yes Exposure to harmful chemicals __X__No ___ Yes Exposure to radiation _X_ No ____ Yes Physical Demands Indicate the time required to do each of the following physical demands: Time Spent Never 0% Occasionally 1-33% Frequently 34-66% Continuously 67-100% Standing X Walking X Sitting X Reaching X Lifting/Carrying Up to 10 lbs. X 10lbs to 50 lbs. X More than 50 lbs. X Pushing/Pulling Up to 10 lbs. X 10lbs to 50 lbs. X More than 50 lbs. X Use computer/keyboard X EDUCATION: Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. EXPERIENCE: Required: Two years experience in scientific software development/analysis. Preferred: Experience with single cell sequencing analysis. 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: 166297 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 85,000 • Midpoint Salary: US Dollar (USD) 106,500 • Maximum Salary : US Dollar (USD) 128,000 • 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 #LI-Hybrid

We are seeking a Director, Bioinformatics to join our bioinformatics team within Oncology Data Science organization to help us deliver actionable insights to progress the Epigenetics Oncology portfolio at AstraZeneca. Do you have expertise in, and passion for, the study of Epigenetics in Oncology using Data Science and Bioinformatics? Would you like to apply your expertise to deliver impact to... the Oncology Epigenetics Portfolio in a company that follows the science and turns ideas into life changing medicines? Would you like to join an organization that values your contributions, encourages innovation, and supports your career development goals? Would you like to develop and lead a team of talented bioinformaticians to deliver impact to AstraZeneca’s Oncology portfolio? Then the Oncology Data Science team at AstraZeneca might be the one for you! At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of a person. The Early Data Science group, within Oncology Data Science, delivers data-driven, actionable insights through the application of computational science to all areas of AstraZeneca’s Oncology portfolio. The group has substantial expertise and a renowned track record in bioinformatics and data science, undertaking both drug portfolio applied informatics research and the development of cutting-edge capabilities. AstraZeneca is a company that always follows the science and turns ideas into life changing medicines. The Early Data Science group has a unique role to play in leading the adoption of computational/data driven approaches to the drug discovery process. If this sounds like a role you are excited about AstraZeneca might be the one for you! Welcome to R&D Boston site in Waltham, MA one of over 400 sites here at AstraZeneca. We provide a collaborative environment where everyone feels comfortable and able to be themselves. This is at the core of AstraZeneca’s priorities, and it’s important to us that you bring your full self to work every day. To help you maintain your best self, here’s a sneak peek into some of the things this site provides for you… The site has a gym, nearby hiking trails, and an on-site cafeteria. There is a bright and spacious environment. There is a vibrant social vibe including a happy hour, Lunch & Learn series, and a summer volleyball league. The R&D Boston site is also planning to relocate to a brand-new location at Kendall Square, Cambridge MA building in 2026. The Bioinformatics team members within the Oncology Data Science organization embed in the oncology drug project teams to deliver to the Oncology research and development pipeline, from new target discovery to translational medicine and clinical trials. We strive to deliver actionable data science to drive decision making insights and progress our drugs to new medicines and improve the lives of patients. We are looking for a Director of Bioinformatics to lead a team to deliver proactive insights to the Oncology Epigenetics small-molecule drug portfolio at R&D Boston. This role supports the delivery of our Early Oncology Epigenetics portfolio by delivering actionable bioinformatics insights. You will lead the computational strategy and delivery of a team of bioinformaticians advancing the Oncology Epigenetics portfolio. The role will also deliver novel epigenomics capability initiatives and epigenetic biomarker strategies. You will be asked to expand AstraZeneca’s leadership in Oncology Epigenetics by engaging with the external scientific community, delivering publications and presentations, and contributing to collaborations. You will be asked to coach and develop the talent of our team of drug project bioinformaticians. You will also be asked to engage globally in a leadership and management team striving to improve AstraZeneca as a great place to work for computational biologists. Main Duties and Responsibilities: • Lead a group of computational scientists at the R&D Boston site to deliver actionable bioinformatics insights to the Oncology Epigenetic Portfolio. • Build a scientific data science portfolio strategy for the Oncology Epigenetics drug portfolio. • Deliver a strategy to grow and develop the talent of the Epigenetic bioinformatics team. • Apply the latest computational/systems biology approaches to the wealth of AZ Oncology clinical and pre-clinical data. • Use your familiarity with cancer biology/drug discovery to deliver actionable insights that impact development of the next generation of cancer medicines. • Work with our Early Oncology Discovery & Translational Medicine to proactively influence the generation of data assets as part of a data generation strategy with a focus on Epigenetics. • Form effective collaborations with industry and academic partners, publish your work in high impact journals, and lead across the AZ data science community to develop best practice. • Contribute to new target discovery in the epigenetics biology area and the strategy for how new modalities (PROTACs and molecular glues) enable hard to drug targets. • Sit on the Early Data Science Management Team and help shape strategy as well as daily operations. • Deliver great place to work initiatives as part of a global management team and propose new strategies to improve team engagement. Minimum Qualifications: • Relevant PhD (or equivalent graduate degree plus proven applied experience), combining technical expertise in bioinformatics, computational biology or applied biostatistics. • 9+ year experience (including Ph.D. training) in applying Computational Biology/Data Sciences to delivering insights in Oncology. • Deep biological understanding of one or more of these areas: Oncology drug discovery, Tumor driver biology, Cancer Epigenetics, or Cancer Drug resistance. • Experience mentoring and coaching scientists or leading small teams of scientists. • Ability to contribute to the global strategy to make AstraZeneca a great place to work for computational biologists. • Ability to coach, develop talent, and inspire a team to deliver. • Experience developing novel computational methods or pipelines in cancer epigenetics or new target discovery. • Highly developed communication and consultancy skills that convey concise, biological stories from complex data. • The ability to coordinate and pursue multiple simultaneous projects to tight deadlines. • A track record of scientific communications including impactful publications. • Proven understanding of the design, development, optimization, and scaling of bioinformatic experiments, applications, and solutions. • Familiarity with the latest approaches in bioinformatics and data science including R and/or Python. • Expertise in a Unix environment making use of high performance computing environments. • Strong network within external bioinformatics and oncology research communities. Why AstraZeneca? At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential. Join us on our journey of building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods, and bringing unexpected teams together. Interested? Come and join our journey. So, what’s next? Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you! Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law

This is a 6-month Co-op starting on July 8th and run till December 20th, 2024. This will be 50% onsite. Pay: $28-32/hr... In partnership with a major life science organization, we are seeking a currently enrolled Masters or PhD level student available for a 6-month engagement and located in/around Billerica, MA. This life science organization plays an integral part in the life science community, harnessing passion and innovation to help researchers and drug producers around the world. As science advances, they advance with it, offering new insight and cutting-edge technologies helping customers solve the world's most challenging human health issues. Your Role: Targeted mRNA delivery (TMD) is seeking a self-starter, highly motivated and eager to learn co-op in their Digital team. This co-op will learn from some of the best scientists within the organization on bioinformatics techniques and biological assays. In your day-to-day activities, you will learn how to design and implement data pipelines for sequence analyses related to lipid nanoparticles encapsulating nucleic acids. You will sit in a large cross-functional team and work directly with computational and formulation experts. In this six-month period, the co-op will gain knowledge of experimental workflows in LNP discovery incl. in-vivo assays and NGS, aid in developing and implementing bioinformatics pipelines, and interact with the top leaders of the organization to present their scientific findings. Who You Are: • Graduate student currently enrolled in a Masters or a PhD Program in Bioinformatics • Senior in undergraduate program in Bioinformatics • Previous experience in life sciences or pharmaceutical industry • 1 year of programming experience (Python or R preferred) and working knowledge of cloud computing • Strong oral and written communication skills • Able to commute to Billerica, MA and work 50% onsite

Job Title: Research Scientist (Bioinformatics Consultant) - Molecular Epidemiology W2 Contract & REMOTE 100... Required Education & Experience :- • Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia. • Should have experience in developing analysis plan and conducting analysis for studies using real-world large observational data or with multi-omics databases. • Should have experience in running bioinformatics pipelines and familiarity with bioinformatics methods and tools. • Proficiency in programming languages such as R and Python. Role Expectations:- • To conduct statistical analysis from real-world observational or clinico-genomic data from Tempus and publicly available databases (e.g., TCGA, clinical trials, etc). • To lead or co-lead development of study protocols and/or statistical analytical plans for studies. • To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis. If you are a good fit then please apply quick

Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio... For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Job Description AbbVie’s Genomics Research Center is looking for a highly motivated computational biologist (Scientist II/Senior Scientist I, Bioinformatics) to join a team of bioinformatics scientists investigating aging and age-related diseases. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, and human genetics. The GRC works across all R&D including discovery and clinical development, and multiple areas such as process sciences, global epidemiology, search and evaluation, and corporate strategy. This role is an on site position based out of our Lake County, IL office and the employee must be able to work on site in a hybrid work environment. The ideal candidate will be an experienced computational biologist with extensive experience in designing and implementing bioinformatics methods as well as analysis and interpretation of various types of omics data to solve biological and clinical problems. The candidate should be familiar with developing and improving genomic data workflows on large NGS datasets, contemporary data visualization methods, as well as writing clean, well-documented, efficient code in R, bash, and python. Candidates should have demonstrated proficiency in a Linux environment and high-performance distributed computing and should be knowledgeable in the areas of statistical inference. Individuals with experience interpreting biological data related to understanding human disease biology, drug target identification, or treatment mechanism of action are preferred. The successful candidate will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical methods, and communicating scientific findings to internal and external stakeholders. In addition, the candidate may contribute to presentations at scientific conferences, publications in peer-reviewed journals, and regulatory filings. Qualifications Scientist II - BS or equivalent education with typically 7 or more years of experience or MS or equivalent education with typically 5 or more years of experience. Sr. Scientist I - Bachelor’s Degree or equivalent education and typically 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary. • A high degree of technical competency and strong communication ability, as well as fluency in 2 or more relevant programming languages, such as R, Python or Java. • Candidates should be experienced with high-throughput omics technologies such as gene expression transcriptomics, enrichment analysis, proteomics, metabolomics, epigenomics etc. • Knowledge around contemporary data visualization methods like R Shiny, or Spotfire; as well as experience in database management in SQL, SQLite, or MongoDB • Strong communication skills in a cross-site and collaborative environment Additional skills preferred: • Experience analyzing and interpreting gene expression data for understanding disease mechanisms and model organism prioritization • Background in analyzing and understanding human disease biology with omics data across multiple tissues from affected patients and animal models • Experience handling, visualizing, recording, and managing data with SQL or other enterprise solutions • Fluency with public data repositories like GEO, SRA, and ArrayExpress and mouse model repositories (mgi); familiarity with genomic databases (such as those relating to genome annotation), genetic variants, or consortium disease specific (like the Accelerating Medicines Partnership - Alzheimer's Disease, the Cancer Genome Atlas). Key Leadership Competencies: • Builds strong relationships with peers and cross functionally with partners to enable higher performance Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​ ​ • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​ • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​ • This job is eligible to participate in our short-term incentive programs. ​ ​ Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​ AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. 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 protected veteran, or any other legally protected group status

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. The Diabetes, Obesity and Complications Therapeutic Area (DOCTA) of Eli Lilly and Company, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of diabetes, obesity and associated complications. The successful candidate will be responsible for supporting the data, tools and infrastructure that are critical for enabling clinical research objectives that will inform and accelerate the discovery and development of our next generation obesity therapeutics. Specifically, we are seeking a key multi-dimensional individual to integrate and analyze genomic, proteomic, metabolomic and phenotypic data from clinical trials on cloud based clinical multi-omics platforms. Are you interested in working on groundbreaking science? Apply today to join the Lilly Team! You will operate as part of a team of DOCTA early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists to: • Steward a secure and scalable cloud platform that enables clinical omics collaboration and is tailored to internal and external project needs • Develop, orchestrate, and maintain primary, secondary, and tertiary NGS analytical pipelines • Ingest and integrate large scale omics (genomics, proteomics, etc.) and phenotypic data and surface the data to scientists within DOCTA • Engage and collaborate with other scientists to develop and maintain workflows needed to process and analyze multi-modal data • Function independently within dynamic team-oriented environments and within cross-functional project teams as part of a multi-dimensional role Minimum qualifications: • Bachelors Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 5+ years of relevant work experience • Masters Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 3+ years of relevant work experience Additional Skills/Preferences • Experience implementing and deploying bioinformatics pipelines using software and data architectural standard processes in a distributed/cloud environment • Proven experience with AI/ML model development and/or bioinformatic applications through publication in a peer reviewed journal • Expertise in systems biology, bioinformatics, and genomics • Demonstrated communication (oral and written) skills and ability to work collaboratively in a team-oriented environment • Extensive experience in solving scientific problems using programming languages relevant to data analysis such as Python, R, Bash (shell scripting), etc. • Strong problem-solving skills and proven ability to troubleshoot issues 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. #WeAreLilly