Bioinformatics Jobs

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives. Job Type... Regular Scheduled Hours: 40 Work Shift: Day (United States of America) About us: The BIDMC Bioinformatics Core (BBC) is part of the Precision RNA Medicine Core at Beth Israel Lahey Health. The BBC will be tightly integrated with the ‘Omics cores at BIDMC. It is the center for bioinformatics research expertise at BIDMC. We work directly with biomedical scientists across our Network and the Harvard community to implement best practice for analysis, interpretation, visualization, and dissemination of scientific discoveries using high dimensional data. The BBC team focuses on teamwork and we provide a supportive learning environment. About you: You understand the growing need for data driven research. You have a solid track record in bioinformatics service provision, excellence in communication skills and written and verbal reporting. A thorough knowledge of current and upcoming developments in analysis of high dimensional data, genomics and the current developments in bioinformatics are essential. Management skills should be evident, with a particular focus upon project management, the ability to define specific project requirements and to execute upon specifications. Evidence of having managed developers is of value. Publications should reflect a collaborative approach – with diversity of subjects being of interest. You should be able to articulate the vision of the program, and must be able to work independently. You are not shy of taking on core projects where you provide direct consulting, or work with teams to provide consulting to biomedical researchers. Your background is in biomedical/quantitative science with evidence of strong interest in working with researchers in diverse areas of biomedical research. You thrive on scientific challenges, enjoy collaborating with an interdisciplinary team and excel at communicating and coordinating between computational and wet-lab scientists. Learning and applying new methods is natural for you, and you are motivated to continuously expand your skills. You have superb data and project management skills. Working on different projects and deadlines, frequently in collaboration with other Cores and research groups, does not intimidate you. Job Description: Job Summary: The Bioinformatics Core Director will have strategic and tactical responsibility for the operations of the core, consultation, recruiting, overseeing core support staff and provision of leadership in developing core resources and providing research support and training for research faculty and staff at BIDMC. The Core Director will lead a team that develops and applies bioinformatics workflows for standard and custom data analysis across a broad range of technologies, such as single nuclei sequencing, spatial transcriptomics, genome variant analyses, transcriptomics or epigenomics. The Core Director is expected to create deliverables that could serve as standards for quality and innovation in broader communities, building informatics tools for data management, omics and imaging analyses within the reality of clinical data integration. The team will support researchers across the research community with their data management, quality control, analysis of data and presentation of results and will also be expected to coordinate selected research or support projects and act as an independent point of contact for researchers. Essential Responsibilities: 1. Determine BIDMC needs and work with core Scientific Directors in setting strategic, scientific and operational priorities. 2. Provide best practice bioinformatics services to investigators across campus, including pre-experiment/grant consulting, application and training on the use of bioinformatics core software tools, and integration of user-generated and large-scale public data sets. 3.Develop staffing plans and oversee recruitment; oversee developers as necessary, provide management of database design, interface design and information processing. 4. Co-ordinate a monthly seminar series, special trainings and mini-courses and organize user groups for bioinformatics related activities. 5. Develop and promote the funding model for expansion and sustainability of the core, including investments from organizational units around the community, charge-back models and collaborative grant applications to ensure long term sustainability. 6. Lead and collaborate on grant applications related to bioinformatics core projects. 7. Enable implementation of scalable workflows to disseminate analytical advances to the research community. 8. Engage with the community to both embrace and develop best practice. 9. Participate in leading national and international efforts aimed at establishing best practices and standards for omics basic science and potentially integration with clinical data representation and analysis. 10. Has full responsibility for planning, monitoring and managing department budget. Required Qualifications: Master's degree required; Doctoral degree preferred. 5-8 years related work experience required and 5-8 years supervisory/management experience required Demonstrated excellence in analytical, writing, and communication skills; A commitment to providing bioinformatics support for a broad range of scientific projects; Experience in developing and managing projects and people. Extensive knowledge of public domain bioinformatics data sources, public sequence databases, genomics tools, single cell analyses, and gene expression analysis. Evidence of software development experience and proficiency in scripting; Experience with SQL or other relational database systems, Unix and mixed operating systems environments, high-dimensional data management and analysis; Proficient in R and Bioconductor. Advanced skills with Microsoft applications which may include Outlook, Word, Excel, PowerPoint or Access and other web-based applications. May produce complex documents, perform analysis and maintain databases. Competencies: Decision Making: Ability to make decisions that are guided by general instructions and practices requiring some interpretation. May make recommendations for solving problems of moderate complexity and importance. Problem Solving: Ability to address problems that are varied, requiring analysis or interpretation of the situation using direct observation, knowledge and skills based on general precedents. Independence of Action: Ability to set goals and determines how to accomplish defined results with some guidelines. Manager/Director provides broad guidance and overall direction. Written Communications: Ability to communicate complex information in English effectively in writing to all levels of staff, management and external customers across functional areas. Oral Communications: Ability to verbally communicate complex concepts in English and address sensitive situations, resolve conflicts, negotiate, motivate and persuade others. Knowledge: Ability to demonstrate in-depth knowledge of concepts, practices and policies with the ability to use them in complex varied situations. Team Work: Ability to lead and direct multiple collaborative teams for large projects or groups both internal and external to the Medical Center and across functional areas. Results have significant implications for the management and operations of the organization. Customer Service: Ability to lead operational initiatives to meet or exceed customer service standards and expectations in assigned unit(s) and/or across multiple areas in a timely and respectful manner. Physical Nature of the Job: Sedentary work: Exerting up to 10 pounds of force occasionally in carrying, lifting, pushing, pulling objects. Sitting most of the time, with walking and standing required only occasionally FLSA Status: Exempt As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) and COVID-19 as a condition of employment. Learn more about this requirement. More than 35,000 people working together. Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives. Your skill and compassion can make us even stronger. Equal Opportunity Employer/Veterans/Disabled

Salary: Sr. Bioinformatics Scientist... About Catalytic Data Science (CDS): REMOTE OPPORTUNITY Catalytic Data Science is a groundbreaking cloud R&D platform designed to integrate the volumes of scientific resources, data, and analytic tools while providing the ability to network with colleagues in one secure and scalable environment. By enabling R&D teams to work more collaboratively and improving productivity company-wide, the Catalytic platform helps teams achieve key R&D milestones faster and with greater accuracy. Our customers are passionate about making the world a better place, and we are inspired by the opportunity to help them. Who You Are: A self-motivated bioinformatician with experience in next-generation sequencing, systems biology, and/or multi-omics. You are eager to help build a digital workspace with a direct impact on human health, pharmaceutical research, and Life Sciences companies. The successful candidate will play an important role in building up data analysis capabilities, ranging from biomarker discovery to visualization and interpretation of results. You will join exceptional software developers, engineers, and scientists in a fast-paced, open, innovative, and fun environment. He/She will report to the Chief Science Officer but will work closely with other company leaders to ensure company success. Responsibilities: • Compare and implement state of the art methods in NGS (e.g., WGS, WES, WTS, etc.) pipelines; • Develop algorithms with technology development teams to transform cutting-edge science into novel software applications; • Analyze sequencing data and work with our scientists to answer specific biological questions; • Provide technical guidance and customer support in the design and analysis of experiments in R • Prepare technical reports, presentations, and manuscripts detailing key methodologies and results; • Troubleshoot and maintain bioinformatics pipelines. Qualifications • D. degree with 2+ years (or MS degree with 5+ years) of working experience in the industry in the field of systems biology, bioinformatics, computational biology, or equivalent; • Solid computational skills and a deep understanding of NGS data and its analysis; • Familiarity with git version-control workflows; • Extensive experience in NGS, systems biology and analysis of large-scale ‘OMICS datasets; • Proficient in either R or Python; • Prior experience working on a scalable, high-volume, web-based application; • Familiarity with Atlassian JIRA; • Experience with Docker containers and immutable infrastructures; • Experience working in a cloud-based environment (preferably AWS); • Excellent personal and communication skills, including solid presentation and writing skills; • Must be self-motivated, a quick learner, dedicated to achieving excellence, and love to take on new challenges. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire

About Voyager Voyager Therapeutics (Nasdaq: VYGR) is a biotechnology company dedicated to breaking through barriers in gene therapy and neurology. The potential of both disciplines has been constrained by delivery challenges; Voyager is leveraging innovative expertise in capsid discovery and deep neuropharmacology capabilities to address these constraints. Voyager’s TRACER AAV capsid discovery... platform has generated novel capsids with high target delivery and blood-brain barrier penetration at low doses, potentially addressing the narrow therapeutic window associated with conventional gene therapy delivery vectors. This platform is fueling alliances with Pfizer Inc., Novartis and Neurocrine Biosciences as well as multiple programs in Voyager’s own pipeline. Voyager’s pipeline includes preclinical programs in Parkinson’s disease, Alzheimer’s disease, and amyotrophic lateral sclerosis (ALS), each with validated targets and biomarkers to enable a path to rapid potential proof-of-biology. For more information, visit www.voyagertherapeutics.com Job Summary Voyager Therapeutics is seeking an innovative, collaborative, and enthusiastic bioinformatician to work on a variety of high-dimensional bioinformatics projects centered on target identification, drug discovery and translational research. Play a key role in integrating and analyzing internal and external datasets from high throughput assays such as NGS, scRNA Seq, etc. They will focus on the implementation and maintenance of effective pipelines to process, manage and analyze data from genomic platforms. A critical component of the job will be the close collaboration with research scientists and other computational scientists on the application of research methods as well as the management, visualization, and presentation of data to help guide a multi-disciplinary internal discovery teams. Key Responsibilities • Work with Computational Biology team to develop and apply custom bioinformatics algorithms and software to solve complicated computational challenges. • Apply, maintain, and improve robust analytic pipelines to process, organize and integrate large scale internal/external genomic data sets. • Work with external partners to support research as needed. • Design and implement accompanying tools for data visualization and presentation. • Provide customized ad-hoc analysis support to Lab Scientists, including the identification/application of commercial/published tools to support research goals. • Organize, interpret and present data for peer-review Qualifications • MS/BS in Computational Biology, Bioinformatics, Statistics, Computer Science with 0-2 yrs. of experience in industry and/or academic research; knowledge of scientific principles and concepts. Prior work in oncology/immunology a plus. • Technically proficient in statistical analysis (e.g., Python and R) and engineering for data science (e.g., version control, containerization, and workflow languages like Nextflow) • Experience with NGS data and NGS analysis pipeline setup and execution • Experience applying new tools for the integrative analysis and visualization of multi-dimensional datasets • Track record of building, tuning and operationalizing machine learning models • Experience sharing data solutions using web apps such as Streamlit and R-Shiny to a wider audience • Excellent verbal, written, analytical, and presentation skills; communicate a clear vision down, up, and across

Frontier Medicines is seeking a highly motivated and experienced Senior/Principal Scientist in Bioinformatics or Computational Biology to join an emerging Bioinformatics group embedded in our growing Data Sciences team. The ideal candidate has proven experience in the analysis of high-dimensional omics data derived from multiple platforms (such as RNA-seq, Chip-seq, WES/WGS, MS-based proteomics... metabolomics, RPPA, etc.) The successful candidate will lead the conceptualization and implementation of analytical strategies and in developing and implementing novel algorithms to further advance our innovative proteome-wide profiling pipeline. This role requires creativity and ingenuity in developing analysis methods, including machine learning/AI type algorithms on our proprietary data to generate actionable insights. Given that our platform is unique and novel, the candidate should also cherish working in uncharted territory and be curious to find solutions where no template exists. This is an exciting opportunity in our Boston site to help making a difference for patients suffering from debilitating diseases. You will be working as part of a highly collaborative and energetic team in a startup environment with short communication lines across functions and departments. What are we looking for? • PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. • 5+ years of post-graduate experience in bioinformatics and computational biology. • In-depth knowledge and hands-on experience in analyzing various high-throughput biological data, such as RNA-seq, WES, WGS, Chip-seq. Experience with analyzing patient level data is a plus. • Demonstrated ability to design and implement bioinformatics pipelines, algorithms, and software tools to solve complex biological problems. • Proficiency in programming languages commonly used in bioinformatics, such as R and Python, as well as experience with statistical analysis packages, such as Bioconductor, SciPy. • Experience working with databases and query languages (RMDB Oracle, MySQL, MongoDB, Document DB). • Comfortable with common software development practices such as version control (Git), containerization, unit testing, and cloud computing environments. AWS experience is a plus. • The successful candidate will not only closely interact with fellow data scientists but also be an integral part of multidisciplinary drug discovery teams with the goal to innovate our chemoproteomic experiments and analysis workflows and further advance our proprietary platform in the quest to discover novel and life changing medicines. • Familiarity with standard bioinformatics tools and databases (e.g., UniProt, Ensembl, GSEA, DepMap, cBioPortal, etc.). • Proficiency in applied statistics (e.g., parametric and non-parametric tests, ANOVA, linear models) and basic data science methods (e.g., anomaly detection, dimensionality reduction) are required. • Expertise in machine learning, data mining, and other advanced computational techniques for large-scale data analysis. • Experience in advanced analytics and data science methods (e.g. random forest, neural networks and deep learning, Bayesian classification) is a plus. • Legally authorized to work in the US. How will you grow with us? • The successful candidate will not only closely interact with fellow data scientists but also be an integral part of multidisciplinary drug discovery teams with the goal to innovate our chemoproteomic experiments and analysis workflows and further advance our proprietary platform in the quest to discover novel and life changing medicines. • Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance (Basic, Voluntary & AD&D) • Paid Time Off (Vacation, Sick & Public Holidays) • Family Leave (Maternity, Paternity) • Short Term & Long Term Disability • Training & Development • Free Food & Snacks • Wellness Resources • Stock Option Plan At Frontier we strive to build a diverse and equitable workplace. The salary range for this role is $135,000 - $203,000. Compensation for the role will depend on a number of factors, including candidates' qualifications, skills, competencies and experience. Frontier offers a competitive total rewards package which includes healthcare coverage, 401k and a broad range of other benefits. This compensation and benefits information is based on Frontier’s knowledge as of the date of publication, and may be modified in the future

The Role Moderna is seeking an exceptionally talented and highly motivated bioinformatics scientist with RNA biology background to work as part of a highly collaborative, multi-disciplinary, and fast-paced team. The successful candidate will develop novel algorithms and leverage all available bioinformatics and analytics tools to support R&D projects and RNA therapeutic programs... The successful candidate must have a very strong foundation in algorithm development (as documented by publications in peer-reviewed journals) and experience in applying machine learning and deep learning models in the field of RNA therapeutics. This position has significant visibility and potential for growth in a dynamic organization. Here’s What You’ll Do • Develop and apply novel combinatorial optimization algorithms to solve the needs and challenges specific to developing mRNA medicines • Work with RNA biologists, the high throughput screening team, and the NGS team to acquire appropriate datasets to train, build, refine machine learning models • Utilize deep understanding of scientific literature and concepts to drive innovation for mRNA design • Contribute to scientific and strategy discussions to advance and enhance the Moderna mRNA Platform • Maintain accountability for project success and result delivery • Communicate research findings to both technical and non-technical collaborators internally and externally Here’s What You’ll Need (Minimum Qualifications) • Ph.D. in Computer Science, Bioinformatics, Computational Biology, Statistics, Physics, or related field with post-doctoral training • Minimum 1 year biology experience in academic or industry required • Algorithm development experience required • Experience applying machine learning and deep learning models required Here’s What You’ll Bring to the Table (Preferred Qualifications) • Experience with applications in RNA biology • Familiar with RNA secondary structure prediction tools and principles • Experience analyzing NGS data from chemical probing experiments, e.g. SHAPE • Experience with programming or scripting language (multiple preferred), e.g. Python, R • High performance computing in a distributed/cloud environment, e.g. AWS • Software development best practices, including agile, version control, unit and integration testing, documentation, and deployment • Ability to manage multiple concurrent, fast-paced projects and to work with collaborators from both wet lab and dry lab • An established record of innovative research achievements in machine learning/bioinformatics reported in top-tier journals and patent applications • Excellent written and oral communication skills • Positive team building and teamwork skills: innate ability to influence, lead and inspire people, within function and beyond functional/company boundaries Moderna is pleased to provide you and your family with a comprehensive and innovative suite of benefits, including: • Highly competitive and inclusive medical, dental and vision coverage options • Flexible Spending Accounts for medical expenses and dependent care expenses • Lifestyle Spending Account funds to help you engage in personal enrichment and self-care activities • Family care benefits, including subsidized back-up care options and on-demand tutoring • Free premium access to fitness, nutrition, and mindfulness classes • Exclusive preferred pricing on Peloton fitness equipment • Adoption and family-planning benefits • Dedicated care coordination support for our LGBTQ+ community • Generous paid time off, including: • Vacation, sick time and holidays • Volunteer time to participate within your community • Discretionary year-end shutdown • Paid sabbatical after 5 years; every 3 years thereafter • Generous Paid Leave offerings, including 18 weeks of 100% paid parental leave for all new parents • 401k match and Financial Planning tools • Moderna-paid Life, LTD and STD insurance coverages, as well as voluntary benefit options • Complimentary concierge service including home services research, travel booking, and entertainment requests • Free parking or subsidized commuter passes • Location-specific perks and extras! About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities. We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities. Moderna is a smoke-free, alcohol-free and drug-free work environment. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply! Moderna is proud to be an equal opportunity workplace and is an affirmative action employer. Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. Moderna is an E-Verify Employer in the United States. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Belonging, Inclusion, and Diversity are critical to the success of our company and our impact on society. We’re focused on attracting, retaining, developing, and advancing our employees and believe that by cultivating diverse experiences, backgrounds, and ideas, we can provide an environment where every employee is able to contribute their best. Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the Talent Acquisition Partner or contact the Accommodations team at leavesandaccommodations@modernatx.com. (EEO/AAP Employer)

Bioinformatics and Molecular Data team is a growing group at the Informatics and Analytics Department (I&A) of Dana-Farber Cancer Institute (DFCI). The team addresses unmet needs for bioinformatics, data management, data mining and analysis across research, clinical, and operational units. It accelerates use of bioinformatics and data science methods, data, and tools within DFCI, bridging the gap... between research and clinical practice and helping design and implement operational solutions. The group encompasses expertise in bioinformatics, data science, machine learning, and software engineering. It works with some of the most prominent research and clinical DFCI programs, from basic research to translational research, to clinical diagnostics and operations. We look for an intelligent, hard-working, and dynamic individual to fill the role of Bioinformatics Scientist in the team. The successful candidate will support key initiatives relying on genomic data, have the ability to lead projects and potentially, in the future, may lead other people within the team. Specifically the role will work on an exciting new initiative to develop a cloud-based bioinformatics analysis platform. The platform will enable DFCI researchers to easily manage and analyze their genomic and biomedical data in the cloud environment, build and run analysis workflows and visualize the results. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. The successful candidate will have proven experience in managing and independently executing complex bioinformatics tasks in the frame of Bioinformatics Workbench project. The role’s responsibilities will include: • Owning and leading various projects, serving as a subject matter expert. • Developing and implementing bioinformatics tools and pipelines in cloud environment. • Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors. • Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects. • Collecting, analyzing, interpreting, and integrating complex biomedical data. • Delivering results for projects and generating relevant reports. • Working as a part of the broader team to identify and implement longer-term solutions that will improve quality, speed and efficacy of our current projects and programs through evaluating and benchmarking new software tools and pipeline development. • Contributing expertise to DFCI software code base and communities of practice. Minimum Education: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field. Minimum Education: 3 Years of experience required; Master’s degree with 1 year experience required; PhD with 0 years. • Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems. • Experience in analysis of the next generation sequencing data, e.g. WXS/WGS, RNA-Seq, etc; experience in single-cell and/or ctDNA data analysis is a plus. • Working knowledge of IA and machine learning approaches used in bioinformatics research • Experience in one or more areas of cancer research, including solid tumors, hematologic malignancies, patient-derived cancer models, biomarker discovery, etc. is a major plus. • Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects. • Proven ability to work independently, prioritize, and manage people if needed, within an environment with evolving priorities. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. EEOC Poster

Overview POSITION SUMMARY... Under the direction of a member of the faculty, the Bioinformatician is responsible for the design, development, evaluation and iterative modification of a technical infrastructure to expedite the quantitative evaluation of data resulting from studies that are laboratory based. The position will entail the establishment and maintenance of applicable in-house bioinformatics resources and interaction with individual lab members on customized research projects, as well independent projects that are the solely computational. This is an open-rank posting (there are 4 levels of Bioinformatician) - candidates will be hired into the level commensurate with their experience. Responsibilities ESSENTIAL FUNCTIONS: Bioinformatician I: • Establish general bioinformatics resources for day-to-day use by members of the laboratory • In collaboration with a faculty member, generate customized programming solutions to improve user interaction with available bioinformatics resources • Assist in the implementation of programs for microarray analysis, high-throughput sequencing data analysis, cis regulatory motif identification, and multi-genome protein motif searches • Local establishment and customization of model organism genomic databases and tools for batch sequence analysis utilizing these resources • Interpret and present study results in support of laboratory members • Provide tabular and written summaries of approaches and analyses in a form suitable for inclusion in manuscripts or grant applications, as well as media for presentation at scientific meetings • Develop and implement custom bioinformatics programming solutions in collaboration with lab as necessary • Coordinate and collaborate with other research computing expertise at the Medical School as necessary • Participate in conference calls and data management meetings as needed • Perform other duties as required. Bioinformatician II: Duties noted above plus: • Implement and adapt programs for microarray analysis, high-throughput sequencing data analysis, cis regulatory motif identification, and multi-genome protein motif searches. • Independently develop, implement and maintain custom designed computational solutions relevant for ongoing lab-based projects. • Independently develop, implement and maintain computational methods for meta-analysis of data generated in the lab as well as publicly available data. • Independently execute a scientific computational project (e.g. a project that can result in a first author publication) Bioinformatician III: Duties noted above plus: • Design and implement reusable bioinformatics analysis pipelines for processing next-generation sequencing, microarray, genomics, proteomics and chemogenomics data. • Integrate computational methods/pipelines with high performance computing clusters. • Collaborate closely with PIs and their lab members on research projects including defining the scope of the collaboration, researching on the scientific topics, and implementing the appropriate bioinformatics solutions that meet timelines. • Participate in the oral presentation of all project findings and abstracts including participation in periodic project status meetings and presentation of final project deliverables. • Develop rapid prototypes and custom scripts for one-off type of analysis requests. • Develop novel algorithms and integrated data visualization applications when existing software packages are not available or adequate. • Properly document the procedures used in computational analysis and provide summary report of results suitable for inclusion in manuscript and grant applications. • Local establishment and customization of genomic, proteomics databases and provide batch analysis utilities that make use of these resources. • Develop custom databases and web portals for managing raw and processed experimental data. • Provide bioinformatics training and workshops for analysis pipelines and in-house developed software applications. • Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams. Sr Bioinformatician: Duties noted above plus: • Lead the design and implementation of reusable bioinformatics analysis pipelines for processing next-generation sequencing, microarray, genomics, proteomics and chemogenomics data. Ensure pipelines meet end-user needs and project timelines • Independently initiate and manage research collaborations. Work closely with PIs and their lab members on research projects including defining the scope of the collaboration, researching on the scientific topics, and implementing the appropriate bioinformatics solutions • Closely follow the latest development in high-through technologies, pioneer in bioinformatics analysis on novel datasets and facilitate sharing of knowledge and best practices • Independently develop novel algorithms and bioinformatics applications when existing software packages are not available or adequate • Prepare scientific manuscripts and abstracts including primary authorship of bioinformatics research papers • Organize bioinformatics training and workshops for analysis pipelines and in-house developed software applications • Liaison with Information System department to ensure high performance computing needs for research are properly addressed • Mentor rotation and summer internship students and junior members in the group Qualifications REQUIRED QUALIFICATIONS: Bioinformatician I: • BS in computer science or a related discipline • 0-1 year of related experience • Strong background in statistical methodology, software languages and computer systems (Perl, C++, R, MySQL, etc.) • Experience in writing basic search algorithms and the ability to generate new algorithms and programs for custom data manipulation and analysis • Excellent communication skills, both oral and written, and interpersonal skills necessary to interact with a wide range of individuals Bioinformatician II: • Requirements noted for Bioinformatician I plus: • 1-3 years of related experience • Co-authorships on peer-reviewed publications are strongly suggested but not required Bioinformatician III: • Requirements noted for Bioinformatician I plus: • Master's degree in Computer Science, a related computational discipline, or equivalent experience • 1-3 years of bioinformatics-related research experience • Proven research record such as co-authorship on peer-reviewed publications required • Strong background in programming. Fluent in one programming language (Java or C/C++) and one scripting language (shell, Perl or Python) • Knowledge in biostatistics packages (R or Matlab) and SQL queries are strongly suggested • Strong communication skills, both the oral and written necessary to interact with a wide range of individuals Sr Bioinformatician: • Requirements noted for Bioinformatician I plus: • Master's degree in Bioinformatics, Computer Science, or related computational discipline • 3-5 years bioinformatics-related research experience • Knowledge in biostatistics packages (R or Matlab) and SQL queries preferred • Highly self-motivated and demonstrated ability to manage internal and external collaborations

At Cedars-Sinai, postdoctoral scientists and other junior researchers fulfill a critical role in expanding the horizons of medical knowledge through biomedical research. By hosting more than 100 postdocs, who conduct vital research and receive advanced training with expert faculty mentors, Cedars-Sinai supports the ongoing medical education process that continues beyond PhD/MD... graduation. Overview: Bioinformatics and Integrative Genomics Research interests in the bioinformatics and integrative genomics cluster (BIGC) involve large-scale data analyses incorporating a wide range of 'omics' technologies such as RNA-seq, single cell RNA-seq, ChIP-seq, WGS and WGBS. BIGC covers all aspects of projects using 'omics'- from study design, to data generation and analysis. The BIGC aims to equip postdocs with the skills they need to successfully incorporate NGS technologies into their research projects. Strong emphasis is placed on collaboration and team science and will foster career development by providing postdocs with guidance on how to foster successful interdisciplinary collaborative projects. Essential Job Duties and Responsibilities: • May assist in preparation of grant proposals, but is not responsible for generating grant funds. • May participate in publications and presentations as author or co-author. • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. • May develop, adapt, and implement new research techniques and protocols. • Analyzes, interprets, summarizes and compiles data. • Performs routine and complex laboratory procedures throughout training period. • Operates and maintains equipment and instruments. Education: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization. Experience: Works independently on research projects designed by a mentor (typically the PI) within area of specialization. Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis and operation and maintenance of specialized equipment. Knowledge of safety standards and maintenance of specialized equipment. Working Title: Postdoctoral Scientist - Bioinformatics and Integrative Genomics Research Cluster Department: Cancer Resrch Ctr Health Eqty Business Entity: Cedars-Sinai Medical Center Job Category: Academic/Research Job Specialty: Postdoctoral Position Type: Full-time Shift Length: 8 hour shift Base Pay:$64,500.00 - $93,600.00

Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. About the Department of Pathology... Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease. We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields. Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit http://pathology.stanford.edu/ As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policy. About GREGoR Stanford Site : GREGoR Stanford Site (GSS), is one of 6 sites in the National Institutes of Health (NIH)’s Genomics Research to Elucidate the Genetics of Rare disease (GREGoR) Consortium. The GSS (https://gregor.stanford.edu/) mission is to provide a platform for functional genomics research and validation to improve diagnosis in Mendelian disease through integrated analysis of multi-omics data. GSS is led by co-PIs Dr. Stephen Montgomery (Department of Pathology), Dr. Matthew Wheeler (Division of Cardiovascular Medicine) and Dr. Jon Bernstein (Division of Medical Genetics). At GSS, research participants who remain undiagnosed after exome sequencing will undergo short read and long read genome sequencing, transcriptome sequencing, methylation assays, metabolomics and/or lipidomics assays. State-of-the art computational algorithms and new methods will be applied and developed to prioritize the variants and genes. The data will be analyzed in a secure and scalable manner using a HIPAA compliant cloud platform like AnVIL and Google Cloud Platform (GCP). Novel causal variants and genes will be validated through state-of-the-art targeted approaches including massively parallel reporter assays, induced-pluripotent stem cell assays and CRISPR engineered cellular and mouse models. About the Position: We are seeking a highly talented and motivated Bioinformatics Engineer to support our GSS pipeline and data analysis team. Your role will focus on the development of pipelines and tools for comprehensive analysis of large amounts of molecular data generated by the GSS, with special emphasis on genomics, transcriptomics, and metabolomics datasets. You will also establish and support cloud infrastructure for storage and computation of the multi-omics data. Your ability to understand biological experiments, strong experience in the analysis of large-scale biological datasets, proficiency with programming languages and experience in high-performance computing environments or cloud will be a key resource in enabling high-quality data to flow through our systems to enable diagnosis and discovery of new disease-gene associations. A complete application will include CV (including GitHub account) and cover letter. Duties include: • Development of pipelines and tools for the comprehensive analysis of large amounts of multi-omics data being generated by the GSS. • Establish and maintain the cloud infrastructure for GSS on AnVIL and GCP. • Interact with GREGoR team members as well as external tool developers to implement new tools, algorithms, and updates. • Develop intuitive reports for molecular pipelines for tracking progress and quality metrics. • Track reports for problems with pipeline analysis and underlying data. • Extract relevant data from a variety of sources, including RESTful API services, databases and medical records. • Serve as a resource for bioinformatics inquiries from the clinical team members to access data or results from local cluster/cloud/external provider. • Work with stakeholders across the consortium to best understand data structures to model metadata schemas. • Mentorship to Junior Analysts with regards to primary analysis • Document and report as needed to fulfill grant and regulatory obligations. • - Other duties may also be assigned Due to the nature of the work, this position will be fully onsite. Desired Qualifications: • Graduate degree (Ph.D or M.S) that emphasizes bio/medical informatics, engineering, computer science and statistics are preferred. • Relevant work experience preferred, two or more years. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, metabolomics, atac-seq, proteomics. • Proficiency in Python and/or R and Linux bash scripting. • Experience with pipeline languages like WDL or snakemake or nextflow. • Proven track record of data and infrastructure management in a HPC (High Performance Computing) cluster or cloud computing like Google Cloud Platform or AWS. • Experience with container systems such as setting up virtual machines and docker instances. • Experience and knowledge of code management such as github. • Experience in systems biology approaches for data integration is a plus • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (rare disease) is a plus. • Experience on bioinformatics and/or software development team-based projects. • Willingness to work in a highly collaborative environment. Experience as part of large NIH consortiums is a plus. • Ability to quickly adapt and learn the latest tools and skills. • Strong communication skills (e.g., put together reports and presentations). • Ability to work independently (e.g., find papers relevant to the subject, assess methods, implement methods, and apply them to datasets to reproduce results). Education & Experience (REQUIRED): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. Physical Requirements*: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. The expected pay range for this position is $102,160 to $125,054 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs

• *Join Dr. Simon Knott, Ph.D., and his research group as a Research Associate I!** The Knott laboratory is focused on understanding the mechanisms that cancer cells use to evade standard of care and experimental therapies. This entails developing and analyzing mouse models of drug resistance as well as profiling patient tumor material to identify cellular pathways that are amplified in response... to the therapeutic onslaught. To learn more, please visit Knott Research Lab | Cedars-Sinai. **Are you ready to be a part of breakthrough research?** Working under direct supervision, the Research Associate I performs a variety of routine experimental protocols and procedures to support the objectives of one or more laboratory research projects in a specific area of research. Assists in general laboratory activities, including maintenance of reagents and stocking of supplies. Files and monitors documents. Observes safety standards and procedures. The Research Assistant I will be able to perform routine micro- and molecular biology procedures including, but not limited to processing of blood and other biospecimens into different components, DNA/RNA extraction, PCR, cDNA preparation, cell culture, cloning of genetic fragments in bacteria. This position does not have supervisory responsibilities. **Primary Job Responsibilities:** + Performs a variety of routine laboratory tasks and procedures. + Keeps accurate and detailed project records of experiments and results. + Maintains lab equipment and related records. + Transports, processes and logs samples. + Maintains computer database with relevant clinical information. + Performs lab maintenance duties, including glassware cleaning and sterilization. + Maintains stocks of general lab materials, and places orders for lab equipment and supplies. + Assists new students and fellows in the laboratory. + Assists in the operation of specialized equipment and machinery. + Observes and complies with safety standards and procedures. **Education:** + Minimum of a Bachelor of Science or Bachelor of Arts degree in biological science required. **Experience and Skills:** + No experience required. One (1)or more years of additional practical experience working in a molecular biology/ pathology/ microbiology/ genetics laboratory is preferred. + Understanding of general research objectives and familiarity with routine laboratory procedures, experimental protocols, and overall lab organization. + Function efficiently as an individual and cooperatively with a team of faculty, research scientists and associates and graduate students. + Highly motivated, independent with superior interpersonal, communication, and strong organizational skills, including excellent written and oral communication. + Computer skills include, but are not limited to, Excel, Word, Access, and PowerPoint. + Ability to simultaneously manage multiple clerical trials, and attention to detail. **Working Title:** Research Associate I - Knott Lab - Center for Bioinformatics & Functional Genomics **Department:** BMS - Bioinfo & Func Genomics **Business Entity:** Cedars-Sinai Medical Center **Job Category:** Academic/Research **Job Specialty:** Research Studies/Clinical Trials **Position Type:** Full-time **Shift Length:** 8 hour shift **Shift Type:** Day **Base Pay:** $19.50 - $29.87Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law