Bioinformatics Jobs

The Lead Bioinformatics Research Scientist (Clinical Genomics) performs NGS data analysis for pediatric somatic and germline clinical tests, and provides guidance to less experienced team members. Case findings are presented bi-weekly in a group setting before clinical reports are issued by the on-duty molecular pathologist. Clinical genomics testing relies on a strong partnership between the... Departments of Molecular Pathology and Computational Biology; as a primary user of the clinical pipeline, the Lead Bioinformatic Research Scientist works at the intersection of pipeline development and reporting, providing feedback and facilitating improvement requests/user testing in support of ongoing improvement efforts. Job Responsibilities: • Perform validity review and interpretation of genetic sequence variation identified through diagnostic clinical genetic testing; prepare and present findings • Establish/maintain/improve protocols and best practices of clinical tasks • Support activities of the molecular pathology lab relevant to new test and technology development and updates • Lead and participate in the department's developmental projects and interdepartmental team projects; acts as a project manager when required • Mentor junior variant scientists regarding variant calling/interpretation • Recognize and report system performance problems • Follow written standard operating procedures (SOPs), and maintain proficiency and competency standards required for lab accreditation • Perform other duties as assigned to meet the goals and objectives of the department and institution Minimum Education and/or Training: • 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. Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, biological sciences, chemistry, bioinformatics, or statistics/computer science (with a background in biological sciences) • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience • For lead bioinformatics scientists, substantial experience in at least one programming or scripting language and at least one statistical package is preferred. Alternative titles (for example, Clinical Variant Scientist) may otherwise be deemed appropriate. 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 $125,840 - $238,160 per year for the role of 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

Position Overview: We are seeking a talented and experienced Bioinformatics Scientist to join our interdisciplinary team. As a Bioinformatics Scientist, you will play a crucial role in analyzing complex biological data, developing computational algorithms, and interpreting results to advance our understanding of biological systems and support research and development efforts. Roles and... Responsibilities: • Data Analysis and Interpretation: • Utilize bioinformatics tools and computational algorithms to analyze large-scale biological datasets, including genomics, transcriptomics, proteomics, and metabolomics data. • Perform statistical analysis, data mining, and visualization to extract meaningful insights and identify patterns or correlations. • Algorithm Development and Optimization: • Develop and implement computational algorithms, machine learning models, and data analysis pipelines for biological data analysis. • Optimize algorithms for efficiency, accuracy, and scalability to handle large volumes of biological data. • Biological Database Management: • Manage and curate biological databases, ensuring data integrity, accuracy, and accessibility. • Design and maintain database schemas, query optimization, and integration with other bioinformatics tools and resources. • Collaboration and Communication: • Collaborate with biologists, geneticists, clinicians, and other researchers to understand research goals and translate biological questions into bioinformatics analyses. • Communicate findings, results, and technical concepts effectively to interdisciplinary teams and stakeholders. • Bioinformatics Tool Development: • Contribute to the development and improvement of bioinformatics software tools, pipelines, and databases. • Stay updated with advancements in bioinformatics tools, algorithms, and methodologies to enhance research capabilities. • Quality Assurance and Validation: • Implement quality control measures and validation protocols to ensure accuracy, reproducibility, and reliability of bioinformatics analyses. • Document methodologies, protocols, and computational workflows for transparency and reproducibility. • Research and Innovation: • Participate in research projects, publish findings in scientific journals, and present at conferences to contribute to the field of bioinformatics and computational biology. • Explore novel approaches and technologies to address biological research challenges and drive innovation in bioinformatics. Skills and Qualifications: • Proven experience (X+ years) as a Bioinformatics Scientist, Computational Biologist, or similar role in analyzing biological data using bioinformatics tools and techniques. • Strong proficiency in programming languages such as Python, R, Perl, or Java, with experience in bioinformatics software and databases (e.g., NCBI databases, Ensembl, UCSC Genome Browser). • Expertise in statistical analysis, machine learning, data mining, and visualization techniques applied to biological datasets. • Knowledge of genomics, transcriptomics, proteomics, and other -omics data analysis methods and technologies. • Familiarity with bioinformatics tools and algorithms for sequence analysis, protein structure prediction, and pathway analysis. • Excellent problem-solving skills and ability to apply computational methods to biological research questions. • Effective communication and collaboration skills, with the ability to work in multidisciplinary teams and communicate technical concepts to non-technical stakeholders. Education: • PhD or Master's degree in Bioinformatics, Computational Biology, Biostatistics, Computer Science, or a related field; equivalent industry experience may be considered. Additional Attributes: • Passion for bioinformatics, computational biology, and advancing scientific research through data-driven approaches. • Ability to thrive in a fast-paced research environment and manage multiple projects effectively. • Commitment to continuous learning and staying updated with the latest bioinformatics tools, technologies, and methodologies. This job description outlines the essential responsibilities and qualifications expected of a Bioinformatics Scientist, emphasizing expertise in biological data analysis, algorithm development, database management, collaboration, and research. Adjustments can be made based on specific company needs, industry focus, and organizational structure

We have an exciting opportunity for a candidate who is interested in working at the forefront of the gene editing (CRISPR knock-out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist 1, you will have the opportunity to apply your bioinformatics background, programming skills, and data analytical knowledge to make key contributions in support of a... wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are a strong team player, can learn quickly, and love working on challenging problems, then this is the right role for you! Key Responsibilities • Work as part of an Agile development team with the support of fellow bioinformatics scientists to develop, test, document, and support bioinformatics tools (primarily Python with some C# and R) • Support the Agile development process by adding information to work items and providing feedback on new code through pull requests • Curate, analyze, and interpret complex data sets • Collaborate with scientists, product managers, and software engineers to understand and address the complex emerging needs of our scientists and customers • Prepare and occasionally present high quality client facing data packages and reports to internal/external clients Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities of this job at any time. Basic Qualifications: • Bachelor's degree in bioinformatics, computational biology, statistics, physics, computer science or a life/natural sciences discipline • 2 years of experience in bioinformatics using standard tools and common data sources • 1+ year of Python development experience including creating and querying databases (e.g. PostgreSQL) OR • Master's degree in bioinformatics, computational biology, statistics, physics, computer science or a life/natural sciences discipline • 1+ year of Python development experience including creating and querying databases (e.g. PostgreSQL) Preferred Qualifications: • Bioinformatics experience • Experience analyzing and interpreting complex scientific data • Knowledge of version control (e.g. Git) • Fluent in Python and experience in other languages (e.g. R, C#) • Team player - enjoys collaborating with others to achieve shared goals and objectives • Excellent interpersonal and communication skills, both written and verbal • Problem-focused and able to drive tasks to completion • Experience working as part of an Agile development team • Experience with unit testing • Familiarity with cloud development and resources (Azure, AWS); Linux & HPC experience a plus • Some experience handling or processing Next Generation Sequencing (NGS) data Compensation Range: The base salary for this full-time position is $91,500-95,000. The base pay actually offered to the successful candidate will take into account internal equity, work location, and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that base pay is only one part of our total compensation package and is determined within a range. This range allows for the successful candidate to have an opportunity to progress within the position and develop at our company. This base pay range does not take into account bonuses, equity, or other benefits which may be applicable and are dependent on the level and position offered. What do we offer? We provide competitive and comprehensive benefits to our employees. Below are some highlights of our benefits: · Medical, Dental, and Vision Insurance Options · Life and Disability Insurance · Paid Time-Off · Parental Benefits · 401k with Company Match · Employee Stock Purchase Plan Learn more about Revvity’s benefits by visiting our Why Revvity page. #LI-CH1

Research Computing at Boston Children’s supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge... research ranging from genomics to epigenetics and transcriptomics, proteomics and metabolomics. The Senior Bioinformatics Data Scientist will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, single-cell ATAC-seq, spatial transcriptomics, bulk RNA-seq and ChIP-seq data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. You will analyze, integrate different types of next-generation sequencing data and interpret the results and will have the opportunity to publish high-profile papers with prominent authorship depending on the intellectual contribution. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies. Responsibilities include: • Providing computational support services to Boston Children's Hospital scientists and clinicians by applying a wide range of bioinformatics tools, methods and technologies. • With minimal supervision and direction, completing highly complex assignments in the required timeframe; consistently adhering to and Promoting standard operating procedures and best practices; maintaining and upgrading a wide range of Research Computing tools, methods, and technologies, migrating data, documenting changes, and adjusting internal processes; resolving highly complex problems associated with assignments and seeking supervisor assistance when needed. • Routinely leading, co-leading, or participating in complex bioinformatics projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; • Training staff and researchers; effectively tailoring presentations; developing, implementing and maintaining knowledge management systems. To qualify you must have: • Minimum of 4-year Bachelor's degree in STEM. A minimum of one year of position-specific experience, which might potentially include experience acquired through MSc or Ph.D. studies. Preference for candidates with a Ph.D. in Bioinformatics, Computational Biology or related. • Extensive knowledge of the use of bioinformatics computations in high-performance computing environments, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation, etc. • Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control (Git), scientific workflow tools and high-performance computing clusters. • Ability to resolve a wide range of complex Research Computing assignments in support of biomedical research. Ability to routinely lead complex projects and coordinate project teams; readiness to seek advice and guidance when needed and to operate effectively in collaboration with scientists and clinicians; ability to follow, improve and create technical documentation and standard operating procedures. • Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audience; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings, to present in departmental and hospital forums, and to develop training instructions and manuals. #LI-Remote

Senior Bioinformatics Engineer SPARK, launched by the Simons Foundation in 2016, is the largest... study of autism ever undertaken. It is open to all individuals living in the U.S. with a professional diagnosis of autism and their family members. The initiative aims to improve the lives of people with autism by identifying the causes of autism and informing more effective therapies, treatments, services, and supports. Participants share medical and behavioral information through online surveys. They can also choose to provide saliva samples for DNA analysis. This data is made available to researchers worldwide to explore the genetic underpinnings of autism, identify potential subtypes, and power downstream research. SPARK also engages the autism community by offering participants access to the latest research findings and potential opportunities to participate in additional studies. POSITION SUMMARY The Bioinformatics team at the Simons Foundation is seeking a full-time senior bioinformatics engineer. The position will play an integral role in returning genetic results to thousands of SPARK participants, including ASD and secondary health-related variants, as well as work with petabytes of genomics data and develop workflows for a variety of informatics needs across SFARI. The ideal candidate will have experience developing bioinformatics pipelines, coding using software development best practices, and performing reproducible genetic analyses. The candidate will be responsible for bioinformatics analysis of the SPARK return of genetic results process, including tracking samples from sequencing to return, developing and running analysis workflows, and working with the SPARK return of results (RoR) team on the review and selection of returnable variants. The candidate will also be responsible for packaging SFARI cohort genetic datasets for release in SFARI Base as new sequencing data is received and as other dataset updates are needed. The senior bioinformatics engineer will report to the Deputy Director of Bioinformatics and will work alongside a growing team, including a software engineer, a data manager, and a data analyst on the Bioinformatics team, as well as with Informatics' engineering team, the SDBR (SFARI Data and Biospecimen Repository) team, and various SFARI cohort teams (SPARK, Searchlight, ABN, etc.). This is a full-time position based at the Simons Foundation offices in New York City. Essential Functions & Responsibilities Return of Genetic Results • Manage the bioinformatics portion of the return of genetic results process, including delivery of sequencing data, variant analysis, and clinical validation orders • Track data deliveries of samples sent for sequencing • Run quality control pipeline to confirm RoR eligibility • Run variant filtering and annotation pipelines for SNVs/Indels & CNVs • Coordinate lab confirmation orders for predicted pathogenic variants • Analyze and summarize statistics for sequencing batches • Respond to questions from SPARK or lab related to variant predictions/orders Maintenance and Development of Bioinformatics Pipelines • Implement new features in existing pipelines, as needed • Design, develop, and test new bioinformatics pipelines, implementing end-to-end workflows that integrate existing tools, to support the needs and goals of SFARI and Informatics Data Releases • Package SFARI cohort genomics datasets for release by performing quality control, integrating data from various sources/versions, and documenting datasets details and methods descriptions • Answer questions about genomics datasets for data in SFARI Base MINIMUM QUALIFICATIONS Education • Ph.D. in bioinformatics, computational biology, or related field Required Skills & Experience • At least 4+ years of relevant work experience • Strong Python skills and software development best practices • Experience with sequencing data (whole exome or whole genome) and related tools • Experience performing reproducible data analysis • Experience working in an HPC environment • Experience with git/github • Effective oral and written communicator • Ability to thrive in collaborative environments Helpful skills • Project management experience • Experience analyzing large research datasets (>10,000 individuals) • Familiarity with core genetics concepts • Solid understanding of statistical analysis • Experience generating interactive data visualizations or dashboards • Desire to continually learn and stay up-to-date with best practices and the latest methods REQUIRED APPLICATION MATERIALS • Resume / CV • Cover Letter • Example code or repositories (e.g., github) COMPENSATION AND BENEFITS • The full-time annual compensation range for this position is $150,000 – $175,000, depending on experience. • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package. THE SIMONS FOUNDATION'S DIVERSITY COMMITMENT Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state and local law. To apply, visit: https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareers/job/Senior-Bioinformatics-Engineer_R0001635 jeid-5fbd00174d38e348bc0c77a94004db94

**The ideal candidate will have experience developing and implementing computational pipelines and software tools for NGS data** MISSION STATEMENT... The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public. SUMMARY The primary purpose of NGS Bioinformatics Developer is to develop, implement, and maintain computational pipelines and software tools for the analysis of Next Generation Sequencing (NGS) data for clinical molecular diagnostics laboratory. This would include working closely with a multidisciplinary team of molecular diagnostics scientists, bioinformaticians, pathologists, and software developers to support various genomics testing applications. This role requires strong expertise in bioinformatics algorithms and data analysis techniques, and the ability to adapt to evolving technologies and clinical applications. JOB SPECIFIC COMPETENCIES Develop bioinformatics pipelines. Develop and optimize bioinformatics pipelines for clinical molecular diagnostics laboratory. This would include processing and analyzing next generation sequencing (NGS) and other genomic data, including tasks such as quality control, alignment, variant calling, and annotation. This involves staying up-to-date with the latest tools and methods in the field and integrating them into existing pipelines to ensure accurate and efficient analysis. Design and implement bioinformatic algorithms. Design and implement algorithms and statistical methods for the interpretation of genomic data, including identification of genetic variants, differential expression analysis, and pathway analysis. This requires a deep understanding of both bioinformatics theory and practical applications to derive meaningful insights from complex genomic datasets. Develop RNA-seq pipelines for transcriptomic analyses. Develop specialized RNA-seq pipelines tailored for transcriptomic analysis, including preprocessing steps such as adapter trimming, read alignment to reference genomes or transcriptomes, quantification of gene and isoform expression levels, and differential expression analysis. This involves integrating specialized tools such as HISAT2, STAR, Salmon, or Kallisto into comprehensive workflows optimized for specific experimental designs and biological questions. Implement bioinformatics pipelines for various NGS applications such as whole genome sequencing (WGS), exome sequencing (WES), targeted sequencing, single-cell sequencing, liquid biopsy analysis, and minimal residual disease (MRD) detection. This includes adapting existing pipelines and developing new methodologies to address the specific requirements and challenges associated with each application. Gather input from stakeholders. Collaborate with molecular diagnostics professionals to understand project requirements, propose solutions, and provide technical support for data analysis and interpretation. This involves actively engaging with project teams to translate biological questions into computational workflows and troubleshooting issues that arise during data analysis. Integrate existing bioinformatics tools and databases into custom workflows to address specific clinical application needs and improve analysis efficiency. This includes evaluating the suitability of available tools and databases for particular analyses and developing scripts or wrappers to automate data processing tasks and facilitate reproducibility. Maintain documentation and version control for developed software and pipelines, ensuring reproducibility and transparency of analyses. This includes writing comprehensive documentation for code and pipelines, managing code repositories using version control systems such as Git, and adhering to best practices for software development and data management. Stay informed about new developments in bioinformatics tools, algorithms, and genomic databases, and evaluate their potential applicability to ongoing projects. This involves actively monitoring scientific literature, attending conferences, and participating in online forums and community discussions to identify emerging trends and technologies relevant to genomics research. Participate in team meetings, seminars, and training sessions to share knowledge and best practices in bioinformatics analysis. This includes presenting updates on ongoing projects, leading discussions on relevant topics in bioinformatics, and providing training to team members on new tools and methods. Provide support and training to other team members, including laboratory staff, precision oncology scientists, bioinformaticians, pathologists and clinical oncologists, on the use of bioinformatics tools and data analysis techniques. This involves offering guidance on experimental design, data preprocessing, and interpretation of results, as well as troubleshooting issues and answering technical questions to facilitate productive collaborations across disciplines Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. Three years experience in scientific software development/analysis. With Master's degree, one years experience required. With PhD, no experience required. 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: 168670 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Day/Evening • Minimum Salary: US Dollar (USD) 91,000 • Midpoint Salary: US Dollar (USD) 113,500 • Maximum Salary : US Dollar (USD) 136,000 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Onsite • Pivotal Position: Yes • Referral Bonus Available?: Yes • Relocation Assistance Available?: Yes • Science Jobs: No #LI-Onsite

Summary The Dan L Duncan Institute for Clinical and Translational Research... (ICTR) provides a learning environment at Baylor College of Medicine that integrates data from diverse domains including the electronic medical record, geospatial and social information and next generation technologies to support research, development, and implementation of new approaches to patient care. The ICTR Chao Cheng Laboratory and Bioinformatics Core is currently seeking a Bioinformatics Analyst II to provide bioinformatics analytics for diverse types of genomic data. Job Duties • Runs and validates genome variation pipeline. • Reviews existing variation and propose improvements. • Tests in-house misinformation tools and provides feedback to the software development team. • Performs manual annotation on genome variation data. • Interprets results from similarity searches and from mapping variation data on genomic coordinate systems. • Ensures that annotation of variation objectives are met as required by project or supervisor. • Uses various computational analyses and biological interpretation of results to review existing data and propose improvements. • Prepares documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses. • Produces and analyzes reports; maintain communications with software engineers and programming stakeholders. • Supervises, schedules and coordinates the activities of less experienced research staff. • Performs other job related duties as assigned. Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • One years of relevant experience. Preferred Qualifications • Master’s degree in a related field. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 19902

ROLE SUMMARY The Translational Oncology (TO) department within the Pfizer Oncology Division is seeking a highly motivated applicant to join our Bioinformatics team as an Associate Director. In oncology, the rapid development and deployment of increasingly sophisticated molecular assays has created an unprecedented scale of biomarker data for patients in clinical trials. This data represents an... enormous opportunity to guide drug development in a data-driven manner while advancing the science of precision medicine. The scale of this data also means that extracting truly applicable biological and clinical findings from statistical noise is a non-trivial task. A successful applicant will leverage modern data-science and bioinformatics approaches to explore high dimensional datasets, such as multiomic profiling data, in order to extract high-value insights into cancer biology and the mechanisms of action/resistance for a variety of therapeutics being developed by Pfizer Oncology. In addition, a successful applicant will also be able to simplify and communicate these insights to a multi-disciplinary team of subject matter experts ranging from assay specialists, biologists, clinicians, and statisticians. It is therefore expected that the candidate will have deep expertise in computational and data science methods, but also be able to bridge that knowledge to fundamental questions of biology and clinical impact. ROLE RESPONSIBILITIES • Effectively collaborate within multidisciplinary translational teams to analyze clinical trial biomarker data, real world clinico-genomic data and publicly available cancer databases and datasets to inform clinical development plans, clinical trial designs and clinical trial results. • Use classical statistical approaches as well as data science-based methods to help us better predict patient populations most likely to benefit from novel drug therapies, as well as understand mechanisms of resistance. • Develop and help maintain data pipelines for the analysis of high-dimensional data (such as NGS) and support complex secondary analysis and visualizations of these data. • Expand Pfizer leadership in oncology drug development and Pfizer contributions to advancing the science of precision cancer medicine by contributing to internal and external data readouts and presentations, as well as publications in top tier journals. • Streamline and automate data processing for biomarker analyses where appropriate. • Help lead efforts in collaboration with Pfizer Digital to in-house data science and machine learning approaches from the scientific literature to drive innovation at Pfizer. BASIC QUALIFICATIONS • Ph.D. or equivalent in computational biology, bioinformatics, biostatistics, computer science, genomics or a related field with postdoctoral research experience in Cancer Biology; or Ph.D. in cancer biology or related field with established advanced capability and track record in developing and applying computational and bioinformatics methods. • Five years or more of post-PhD academic and/or industry experience analyzing and mining large, multidimensional, genomics datasets (e.g. NGS, RNA-Seq, transcriptomics, proteomics, flow cytometry, etc.) • Fluency in the R programming environment and a comfort working in Linux. • General familiarity with good coding/software development best practices and the use of Git/GitHub. • A track record of publications demonstrating successful collaborations involving processing, analyzing and interpreting large genomics data sets, and in-depth knowledge, innovation and creativity in complex, integrative "omics" data analysis. • Demonstrated organizational, interpersonal, and communication (verbal and written) skills that contribute to positive, efficient, productive, inclusive and supportive collaboration within a multi-disciplinary team of diverse and experienced subject matter experts. PREFERRED QUALIFICATIONS • Prior experience with clinical trial data and familiarity with general clinical trial design principles. • Prior experience and comfort working in matrixed team structures. • Experience/fluency in Python. • Familiarity with workflow languages such as Nextflow/Snakemake/CWL. • Experience with cloud computing environments (AWS or Azure). • Use of CI/CD integrations with GitHub. ORGANIZATIONAL RELATIONSHIPS • Translational Oncology (TO) - This is the primary group of contact as itencompasses Bioinformatics and Biomarker specialist colleagues that this position will engage with for day-to-day activities. • Translational Sciences Operations (TSO) - A successful candidate will work with the TSO group to understand sample disposition for a given study and also to contextualize the implications of any bioinformatics outputs on potential diagnostic development. • Global Biometrics and Data Management (GBDM) - A successful candidate will need to work with Data Managers and Statistics colleagues to ensure that input data to any bioinformatics workflows are properly QC'd and controlled. • Pfizer Digital - The Bioinformatics group has extensive collaborations with Pfizer Digital to ensure that we have the appropriate compute and storage needs for our workflows. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PHYSICAL/MENTAL REQUIREMENTS Ability to perform complex data analysis in a modern computing environment. The annual base salary for this position ranges from $131,200.00 to $218,600.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Research and Development

ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first... mentality to each and every engagement. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. Bring your curiosity for learning; bold ideas; courage and passion to drive life changing, impact to ZS. Our most valuable asset is our people. At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do • Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality. • Apply problem solving, data, delivery, functional and technology expertise to solutions for trial design, protocol optimization, site selection and feasibility, trial virtualization, clinical operations metrics and business intelligence • Leverage knowledge of Life Sciences R&D organizations, data & systems, business processes & stakeholder types to aid analyses & recommendations for solution offerings in clinical development • Participate in the development of ZS’s thought leadership in technology solutions accelerating clinical development • Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. • Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate • Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. • Engage in the development of specific assets/accelerators that foster scalability. • Contribute to advancing thought leadership through research support and publication assistance. • Provide guidance and mentorship to Associate team members. What You’ll Bring • A PhD Degree in Computer Science, Statistics, or a relevant field or a master’s degree with 3-5 years of relevant post-collegiate work experience; • 3+ years of experience in working with, or data from, clinical systems (EDC, CTMS, IVR, eTMF and Patient data such as ePRO, Lab, CDMS, OC etc.), understanding clinical process and clinical documents like protocols and data sources like ClinicalTrials.gov (AACT), Citeline etc. • A robust academic performance with coursework emphasizing analysis and quantitative skills. • A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). • A proficiency in at least one programming language (e.g., Java/Python/R). • Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems. • A proficiency in agile project planning and project management techniques. • Prior leadership experience from a relevant position. • Fluency in English. Additional Skills: • Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment. ZS is committed to providing and maintaining a safe workplace. Must have received full COVID-19 vaccination by date of hire to be considered. Proof of vaccination will be required upon acceptance of offer of employment. Exemption process available on a limited basis. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com #LI-EM1

Job Overview We are seeking an experienced and highly motivated Senior Bioinformatics Developer with... expertise in public health microbial genomics to join our team. In this role, you will lead the design, implementation, and optimization of bioinformatics workflows for analysis of genomic data from a multitude of viral, bacterial, and fungal pathogens. Responsibilities 1. Provide scientific guidance on development, maintenance, and optimization of bioinformatics workflows such as those available in the open-source Theiagen Genomics Github Repository (https://github.com/theiagen) 2. Establish best practices in code review, documentation, and testing of bioinformatics workflows to ensure reliability and reproducibility of analyses 3. Document and automate processes through a focus on continuous improvement 4. Lead meetings with public health partners and external collaborators to communicate important updates, identify key issues, and strategize solutions 5. Advise, mentor and supervise junior bioinformatics developers and foster an environment of collaboration, innovation, and excellence across the team 6. Stay informed about the latest developments in bioinformatics, genomics, and public health to support continuous improvement and modernization 7. Perform any other tasks as required to support the objectives of the team and organization Qualifications 1. PhD in bioinformatics, computational biology, genomics, or a related computational field 2. Have an understanding of infectious diseases or public health 3. Extensive experience in bioinformatics development, with a track record of leading projects from conceptualization to completion 4. Proficiency in at least one programming language to an advanced level 5. Knowledge of other commonly used languages in bioinformatics such as (Python, WDL, Nextflow, R) and experience with version control systems (Git) 6. Strong expertise in bioinformatics tools and databases relevant to microbial genomics (e.g., BWA, SAMtools, GATK, NCBI databases) 7. Demonstrated experience with workflow containerization technologies such as Docker or Singularity, and workflow management systems 8. Understanding of molecular biology concepts, genomics technologies, and infectious disease epidemiology 9. Excellent problem-solving abilities and analytical skills, with a strong attention to detail and a commitment to quality and reproducibility 10. Proven ability to communicate complex technical concepts effectively to diverse audiences, both verbally and in writing 11. Experience working with metagenomic data is desirable Job Type: Full-time Pay: $75,000.00 - $125,000.00 per year Benefits: • 401(k) • 401(k) matching • Dental insurance • Health insurance • Life insurance • Paid time off • Vision insurance Schedule: • Day shift • Monday to Friday Application Question(s): • Do you have an enthusiasm for public health? • What is the highest level of education you have completed? • Are you available to work day shift in US Pacific Standard Time? • Do you have experience implementing best practices in development and testing of bioinformatics tools? • Have you previously lead a bioinformatics development project from conceptualization to completion? • Please provide a cover letter for competitive consideration. Language: • English (Required) Work Location: Remote