Bioinformatics Jobs

• Develops and manages a specific bioinformatics, computational biology or quantitative genomics project within the research program under the supervising faculty member. • May prepare and submit funding applications within the content areas of the supervisor with permission of the supervisor. • May manage a small research group; conducting reviews and evaluating work... • Leads discussions regarding experimental design, data analysis and interpretation of results. • May represent the supervising faculty member in leading the research group as needed. • Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication. • Contributes to writing grant applications or manuscripts. • May serve on research committees. • Collaborates and leads genomics and bioinformatics analysis for clinical faculty and other investigators. • Performs literature searches to gather information pertaining to research projects or analytical methods in order to develop new protocols, research projects or grant applications for the work group. • Advises other research employees regarding technical and analytical problems within area of expertise. • Participates in work group meetings and formal seminars to present, explain, and discuss research interests. • Makes presentations to extramural audiences at national meetings and academic institutions. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University, is seeking a highly motivated Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). MoTrPAC is part of the Common Fund Data Ecosystem (CFDE) and aims to build a comprehensive molecular map of physical activity. The BIC is... responsible for managing, analyzing, and disseminating large volumes of molecular and clinical data generated by the consortium through the Google Cloud Platform. As a Bioinformatics Engineer, you will play a key role in developing pipelines and tools for the analysis and integration of multiomics datasets and enabling analytical insights. The Common Fund Data Ecosystem (CFDE) is a collaborative effort by the National Institutes of Health (NIH) to establish a shared infrastructure that supports the efficient and effective management, analysis, and dissemination of biomedical research data. The CFDE aims to harmonize data management practices and facilitate data sharing across the scientific community, enabling researchers to work with large, complex datasets and extract new insights. As part of the MoTrPAC consortium, the Bioinformatics Core (BIC) is contributing to the CFDE by developing cutting-edge infrastructure to manage and analyze large volumes of molecular and clinical data generated by the consortium. The BIC's work will help advance the CFDE's mission of promoting data-driven research and accelerating scientific discoveries. As a Bioinformatics Engineer, you will have the opportunity to work within this ecosystem and contribute to the development of innovative solutions that facilitate data sharing and promote scientific collaboration. This is an exciting opportunity to work in a data federation and be part of a cutting-edge project that integrates a variety of molecular data types, including genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, to advance the understanding of how physical activity improves and preserves health. You will have opportunities for cross-disciplinary collaboration and engagement with clinical, translational, wet lab, and dry lab researchers. To be successful in this role, you must have a strong background in bioinformatics and experience working with large-scale biological datasets. Proficiency in programming languages and exposure to high-performance computing environments is essential. You will be expected to participate in software development projects and have the ability to understand biological experiments. A complete application will include a cover letter highlighting your interest in the project and relevant qualifications. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. DESIRED QUALIFICATIONS: • Experience as a research assistant or similar. • Experience (including any graduate school) developing tools for data analysis. • Proficiency in python and/or R programming languages. • Experience with cloud computing environments. • Exposure to container systems such as setting up virtual machines and Docker instances. • Biological domain knowledge (exercise science is a plus). • Experience with omics projects. • An understanding of data modeling including ontologies and database design. • Strong data analysis skills to identify patterns, relationships, and inconsistencies within metadata. • Experience in working with large-scale data repositories and data management systems. EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree or a 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. • Strong 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. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $64,480 to $97,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law

Job Summary The Bioinformatics department has an opening for a Data Scientist I. This role will employ a highly skilled data scientist with expertise in developing machine learning models to curate and analyze large, multi-modal datasets generated by the SimCenter at UT Southwestern Medical School. Experience with using machine learning for analyses of video-based data sets is a plus. They will... work closely with our software and AI engineers to ensure that the models are integrated into actionable user interfaces. Job Duties • Analyzes and develops formalisms, algorithms and software for applications in biomedical research. • Develops and maintains software tools and infrastructure for resolving specific problems. • Assists in the development, testing and revision of programs in a team with diverse bioinformatics expertise. • Performs other duties as assigned. Responsibilities: • Clean, organize, and analyze large, multi-model data sets • Build, train, test, and evaluate machine learning models on our proprietary data sets • Understand and implement the latest video-based machine learning models • Continuously improve the performance of the models by analyzing results and experimenting with different techniques • Collaboratively ensure the models are integrated into the user interfaces. Experience and Education M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field OR B.S. with demonstrated experience in broadly defined areas of bioinformatics. 0 - 2 years post-graduation experience in data analysis and/or scientific software development. Technical Skills/Specifications: • Strong experience with Python and related data science libraries such as Pandas, Numpy, Scikit-learn. • Strong experience with machine learning frameworks such as Tensorflow or PyTorch. • Experience with video analysis with machine learning, specifically with CNNs and other deep learning models. • Experience with data visualization tools such as Matplotlib or Seaborn. • Strong understanding of data science and machine learning principles and best practices. • Experience with cloud platforms such as AWS or GCP. • Strong debugging and problem-solving skills. Why UT Southwestern? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. At UT Southwestern, we invest in you with opportunities for career growth and development that align with your future goals and help to provide security for you and your family. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more that are all available on the day you start work. UT Southwestern is honored to be a Veteran Friendly work environment that is home to approximately 800 veterans. We value your integrity, dedication, and the commitment you’ve made to our country. We’re proud to support your next mission. Ranked by Forbes as one of the Top 10 National Employers, we invite you to be a part of the UT Southwestern team where you’ll discover teamwork, professionalism, and consistent opportunities for growth. This position is security-sensitive and subject to Texas Education Code §51.215, which authorizes UT Southwestern to obtain criminal history record information. UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion

The Lead/Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development with a focus on the Genomics data. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Genomics Group from the Center for Applied... Bioinformatics at St. Jude Children's Research Hospital is looking for a highly motivated and creative Senior Bioinformatics Research Scientist or Bioinformatic Research Scientist to develop and apply innovative analytical approaches to understand the underlying mechanisms that drive pediatric cancers and other human diseases. Working for all different projects together with different PIs, employee could make a valuable difference not only to science but also to pediatric cancer patient curation and survival. Besides the various analysis tasks, we also encourage exploring newly available methods, pipeline development could result in first author, high profile publications, as long as it aligns with our ultimate goal: “Finding cures. Saving children”. The Center provides a highly interactive environment with collaborative opportunities within the centers including transcriptomics group, genomics group, and genetics group, and across basic and clinical departments, access to high-performance computing clusters, cloud computing environment, novel sequencing platforms such as long reads sequencing technologies, single-cell sequencing at both DNA and RNA level and spatial transcriptomics, innovative visualization tools, highly automated analytical pipelines powered by GPU technology and mentorship from scientists with deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects. The members of this Center could work on broad areas of bioinformatics and gain valuable experiences. The members of this Center also have the opportunity to publish high-profile papers with prominent authorship and file patents for novel biomarker discoveries or novel methods for clinical diagnosis or disease treatment. Good candidates will have experience in building and optimizing analysis workflows using publicly available software/pipelines for high-throughput next-generation sequence data analysis (such as whole-genome sequencing, whole-exome, targeted sequencing and so on) under Linux/Unix environment. The successful candidate is expected to have good programming skills in Bash, Python, and R. Experience with cancer genomics is a plus. St. Jude has been frequently made up to Great Place to Work list such as in Fortune magazine’s “Best Workplaces in Health Care & Biopharma™ 2020” list and GlassDoor's "BEST PLACES TO WORK 2023" list. Salary is highly competitive (comparable to industry) and employee benefits are outstanding. This position is located at Memphis, TN, and relocation assistance is available. Responsibilities • Specific responsibilities may involve NGS data quality control, integrative analyses, data visualization, developing and evaluating analytic tools • Excellent communication skills are essential • You will work closely with St. Jude PIs to provide standardized/customized analysis, using St. Jude high-performance computing clusters or a cloud computing environment Minimum Requirements • 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. Lead Bioinformatic Research Scientist • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Senior Bioinformatics Research Scientist • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred Bioinformatics Research Scientist • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with Python preferred Other Information 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

Scientist, Bioinformatics Doppler Bio is developing a next-generation programmable precision genetic medicine platform with the potential to transform gene therapy and cell engineering. The company is founded by world leading CRISPR, gene editing, and molecular biology pioneers from MIT, Broad Institute, Harvard and Duke Universities and world-class investors using a novel targeted cell and gene... therapy platform. The company's early scientific team will play a leading role to translate the technology, define the early clinical pipeline, develop the scientific strategy for key preclinical experiments, and work at the forefront of gene editing therapeutic development. JOB DESCRIPTION We are looking for a highly motivated, innovative, enthusiastic, and collaborative bioinformatic and computational biologist to be part the company's foundational science team to work on groundbreaking programable next generation genetic medicines. This individual will play key roles in mining multiple internal and external gene expression datasets from human patients, extracting transcript enrichment profile for tissues, cell types and cell states, developing a bioinformatic pipeline for multi-omics data sets including experimental NGS data sets generated by the platform team and designing nucleic acid therapeutics via sequence and structure optimization. A critical component of the job will be to design and develop innovative analysis strategies to generate therapeutic hypotheses for smart next-gen cell and gene therapies. This position offers significant growth opportunities in a rapidly growing dynamic startup. RESPONSIBILITIES The candidate will lead the bioinformatic and computational biology efforts as part of a dynamic and growing platform technology development team. In this role, the candidate will be using innovative genomics techniques, single cell sequencing and machine learning tools for the discovery of new targets and design of best-in-class smart, precise and target specific nucleic acid therapies. • Find, access, and analyze large patient datasets to identify, prioritize and validate RNA targets using available and newly developed bioinformatic tools and standard statistical analyses. • Develop computational tools for combinatorial optimization of RNA sequence and structural elements to design best-in-class next-gen RNA therapeutics. • Work with RNA specialists and cell biologists to experimentally build and evaluate the design and utilize the learnings to continually improve the design algorithm. • Identify, evaluate, and implement novel technologies, concepts, tools, and algorithms from emerging scientific literature. • Generate meaningful research and clinical hypotheses by leveraging genomics data sets in a variety of therapeutic areas. • Effectively communicate the research findings to internal and external collaborators REQUIREMENTS • A Ph. D or M.S in Bioinformatics, Computer Science, Biology, or related field with a minimum of 2 years of experience in computational biology and genomics required. • A strong background in single cell genomics, data mining, algorithm development • Ability to innovate, apply and develop new tools for the integrative analysis and visualization of multi-dimensional genomics datasets. • Familiarity with bioinformatic applications and computational tools used in the discovery and development of RNA therapeutics, RNA structure predictions is preferred. • Experience with machine learning algorithms and data mining methods is preferred but not required. • Proficiency with Python, R, or other scripting languages for statistical computation. • Experience with cloud computing, documenting and managing code/pipelines on Github. • Desire to work in a fast-paced, highly collaborative startup environment to integrate the latest in computational biology, genomics, and machine learning algorithms to design therapies. • Ability to thrive in a dynamic, rapidly growing startup advancing precision medicine while engaging with world class founders from MIT, Borad, Harvard, and Duke • Ability to adapt to increasing scope and complexity of work brought on by growth/change and helps others manage through change. • Strong written and oral communication skills • Knowledge of industry trends and ability to utilize that knowledge to meet business needs

Payroll Title: BIOINFORMATICS PROGR 2 Department: CHEMISTRY & BIOCHEMISTRY Hiring Pay Scale... $60,000/year Worksite: Campus Appointment Type: Contract Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: 8 hrs/day, Mon - Fri, occasional overtime as needed #126859 Bioinformatics Programmer 2 Filing Deadline: Thu 12/7/2023 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. This is a 100% Contract position for one year. This appointment may be extended or converted to career status based on the needs of the department. DESCRIPTION UC San Diego is a student-centered, research-focused, service-oriented public institution, recognized as one of the top 15 research universities worldwide. The University fosters a culture of collaboration that sparks innovative discoveries that advance society and drive economic impact. The Department of Chemistry and Biochemistry (Chem/Biochem) is one of the largest and most complex departments on campus. Our department combines research on the most consequential and revelatory scientific areas with education aimed at building our future leaders and scientists. Chem/Biochem strives to be a top-ranked and recognized leader in the chemical and biochemical sciences through transformative research and impactful educational programs. We are committed to excellence in teaching and mentoring excellence and supporting students and postdoctoral researchers in safe and inclusive environments as they prepare to become leaders in science and society. We value collegiality, equity and diversity with the Department, and promote a culture of collaboration and transparency. We aim to enhance our impact in local and global communities through partnerships with other educators, industry, government and professional societies. Chemistry and Biochemistry is one of the largest and most complex departments on campus. The department’s organization is divided among three major academic sections each with its own leadership (Section Chair and Vice Chair) representation under the Department Chair: Physical, Analytical & Environmental (PAE); Biochemistry & Biophysics (BB); and finally Synthesis, Materials and Chemical Biology (SMCB). The department is comprised of 73 ladder rank faculty, an additional 15 in various instructional titles, and ~150 in academic research titles and postdoctoral scholars. The department is comprised of 100 career staff; ~60 temporary or student staff, and 400 Master’s and Ph.D. students. There are 1,700 undergraduate students enrolling in 5 majors with total annual course enrollments exceeding 27,000. Chem/Biochem manages $30 million annually in extramural funding and approximately $63 million in total annual expenditures. The Department occupies space in 7 buildings, totaling 237,000 ASF, including class laboratories and instructional support space, research labs, and recharge facilities. Additional information can be found on our webpage at chemistry.ucsd.edu. Uses state-of-the-art bioinformatics concepts and machine-learning algorithms to develop and utilize computational tools and systems to analyze and interpret cryogenic electron microscopy (cryoEM) data. Will work as part of a collaborative team on the development of a machine-learning algorithm for cryoEM data, develop cryoEM data processing strategies, write and curate code for cryoEM data interpretation, and develop relevant hands-on learning materials. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs for algorithm usage and interpretation. Manages code hosting on online repositories and necessary material for end user utility. QUALIFICATIONS • Working knowledge of bioinformatics methods and data structures. Experience developing and debugging machine learning algorithms. • Working knowledge of applications programming and web development. Ability to write and curate code for cryogenic electron microscopy (cryoEM) data analyses. • Working knowledge of databases. • Working project management skills. • Working knowledge of modern biology and applicable field of research. Theoretical knowledge of Biology, Molecular Biology, Structural Biology, and Biochemistry or other related field generally acquired through a Bachelor’s Degree; or an equivalent combination of education and experience. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. Good interpersonal communication skills including tact, diplomacy, and flexibility with students, staff, faculty, and visitors of various cultures and backgrounds. • Ability to communicate technical information in a clear and concise manner. Ability to follow verbal and written instructions and procedures. • Self-motivated, able to learn quickly, meet deadlines and demonstrate problem-solving skills. Ability to maintain confidentiality of matters related to work. • Working knowledge of application and data security concepts. • Experience in Python coding and management of Github repositories. • Enthusiasm for learning and a genuine interest in scientific research. Willingness and ability to learn new skills, research methods, and scientific principles. • Experience with cryoEM sample preparation, data collection, and/or data processing. • Ability to record scientific data in a well-organized laboratory notebook. Good organizational skills including ability to keep clear and accurate records. • Knowledge of hazard communication and injury and illness Prevention Program. Knowledge of laboratory safety precautions including appropriate clothing and shoes, safe handling of chemical, use of protective items such as gloves and goggles, etc. SPECIAL CONDITIONS • Background check required. Pay Transparency Act Annual Full Pay Range: $59,700 - $124,300 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $28.59 - $59.53 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 35 • Standard Work Schedule: M-F 9am-5pm • Building: • Salary Range: $80,000 - $95,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are looking for an enthusiastic and energetic individual to join our research effort investigating genetic and molecular variation in the context of human aging, with a focus on brain tissue. This position will work with Menon lab and other inter-disciplinary teams as part of consortium-wide projects to incorporate existing and new experimental data on the trajectory of human aging and neurological disease. The candidate will develop, execute, and maintain bioinformatics pipelines to process and analyze genetic, imaging, transcriptomic (bulk and single-nucleus RNA-seq), epigenetic, and proteomic data from mouse and human brains. In addition, the candidate will incorporate analysis results into a parse-able format for non-bioinformatics experts. The ideal candidate should have a quantitative background (Computer Science, Statistics, Biostatistics, Computational Biology, Applied Mathematics, Computational Neuroscience, Genomics, or Bioinformatics), and extensive experience in standard workflows for analysis of large-scale molecular and imaging data, specifically to answer questions about aging associated changes in human and model system data. In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or proteomics) is required, as well as prior experience with image analysis. Successful applicants will receive on-the-job training for other data modalities in the Menon lab. The candidate should have good knowledge of programming languages for implementing computational algorithms on large-scale data (R, Python, Perl), as well as experience working in Linux/Unix on high-performance computing/cluster platforms. The successful candidate will be part of an integrated team of neurologists, data scientists, and cell biologists who come together to perform team-based projects. The position therefore offers a stimulating and multi-disciplinary environment and the opportunity to work with a variety of researchers at Columbia University and beyond. There will be many opportunities to contribute to multiple ongoing national and international collaborative projects. Responsibilities • Responsible for assembling, executing, and developing the latest bioinformatics pipelines for primary analysis of ‘omics data in the context of aging. • Responsible for importing, developing, and implementing image analysis pipelines for tissue-level analysis of cell signatures • Contribute to QA/QC of published and newly generated data sets. • Develop analysis workflows to answer targeted questions about changes in molecular profiles in healthy aging or disease in human. • Display initiative and independence in providing rapid results to various investigators generating experimental data. • Communicate results to non-bioinformatics experts and develop novel analysis approaches in response to new questions or insight. • Prepare summary reports of data and results for dissemination to colleagues and collaborators. • Directly respond to inquiries regarding projects being managed. Produce subsets of data for distribution to collaborators as approved by the principal investigators. Minimum Qualifications • Requires bachelor’s degree or equivalent in education and experience, plus four years of related experience. Preferred Qualifications • Master’s Degree or PhD in bioinformatics, computational biology, applied mathematics, computational neuroscience, computer science, statistics, biostatistics, physics, or related area. Other Requirements • Demonstrated programming skills • Demonstrated experience with building pipelines for at least one “omics” data modality (genetics, transcriptomics, epigenetics, proteomics). • Strong organizational skills in managing and analyzing large datasets • Programming experience in R, Python, Perl, or C/C++ • Ability to work independently, display initiative within a team environment, and respond rapidly to requests Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents

Company Summary: Arana Biosciences is one of the latest companies founded through Flagship Pioneering’s venture creation engine, where companies such as Moderna Inc. and Indigo Ag were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of nearly 100 scientific ventures resulting in $19+ billion in aggregate value, 500+ issued patents... and more than 50 clinical trials for novel therapeutic agents. Arana Biosciences is integrating the latest developments in molecular biology and plant biology to create a new platform technology that enables adaptive, targeted and sustainable solutions in agriculture. Data Engineer II, Bioinformatics Key Responsibilities:  • Design, create, and manage database systems that allow biologists to investigate data independently. • Automate workflows for data retrieval or storage in electronic lab notebooks (ELNs),such as Benchling. • Collaborate with a team of scientists to help automate data analysis pipelines and build data infrastructure. • Define, contribute to, and proactively communicate data engineering standards and practices establishing repeatable templates and frameworks and efficient usage of cloud services and tools. • Communicate insights and progress to the scientific team and executive management. Minimum Qualifications • B.S. or M.S. in computer science or related field and 3+ years of industry experience • Extensive experience with database technologies, architecture, and management. • Programming experience in scripting languages such as Python, R, SQL, and version control tools. • Understanding of ideating and creating UI design deliverables. • Working knowledge of AWS services, including EC2, S3, RDS, FSx Lustre, Athena, Glue, Lambda, Batch. • Application lifecycle knowledge, including best practices such as code review, unit/integration testing, and documentation. • Ability to design and implement backend models using logic and API endpoints for complex scientific workflows/entities (i.e.. Benchling). • Adaptive, creative, and a quick learner, efficient in multi-tasking and troubleshooting. • Demonstrated ability to successfully work in cross-functional and third-party teams with an emphasis on teamwork, collaboration, and communication. • Experience with workflow orchestration frameworks such as Nextflow, Snakemake, Airflow or AWS Step Functions. Preferred Qualifications • NGS pipeline development experience with virology, pathology, molecular biology, or similar datasets. • Ability designing and implementing a variety of software platforms through the API framework. • Familiarity with continuous integration/continuous deployment (CI/CD) pipelines. • Experience with data visualization tools, such as Tableau, Spotfire, or Retool. Location: Cambridge, MA More About Flagship Pioneering Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has, through its Flagship Labs unit, applied its unique hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $50B in aggregate value. To date, Flagship has deployed over $2.2B in capital toward the founding and growth of its pioneering companies alongside more than $18B of follow-on investments from other institutions. The current Flagship ecosystem comprises transformative companies, including Seres Therapeutics (NASDAQ: MCRB), Indigo Ag, Invaio Sciences, Moderna (NASDAQ: MRNA), Generate Biomedicines, Denali Therapeutics (NASDAQ: DNLI), Senda Biosciences and Foghorn Therapeutics (NASDAQ: FHTX). Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto

Volta Labs is an MIT spin-off that has unlocked powerful new DNA sequencing capabilities by developing novel fluidic technology. Building off of this core technology, Volta has created a product that streamlines DNA sequencing sample prep. Volta is at the forefront of a sequencing revolution, driving sequencing towards seamless ease of use and complete automation. We a product and data-driven... company where employees are empowered to learn and thrive in a fast-paced, open, and collaborative environment. This is an exciting phase to join Volta; with commercialization imminent, our product has the potential to change the future of sequencing. The Team You'll join a team of innovative thinkers who aren't afraid to venture into new territories to build advanced automation systems. We are an incredibly supportive group that enjoys collaborating to overcome challenges and provide constructive feedback to help each other grow. We are passionate about pushing the boundaries of automation, biology, computing, robotics, design, and user experience to benefit our customers. As a core member of our team, you'll instill these values across the organization and play an integral role in helping grow the team. Join us if you want to make a meaningful impact on the future of technology while being part of a thoughtful, driven team. The Opportunity Volta is building a suite of genomics applications for its disruptive digital fluidics sample prep automation platform. Reporting to the Head of Applications Development and working closely with Scientists from the Application Development team, the ideal candidate will be responsible for the development of bioinformatic infrastructure as well as collaborating with Scientists to design experiments and analyze sequencing results. Responsibilities • Own the development and implementation of bioinformatic infrastructure to support internal research efforts and collaboration across the application development team. • Integrate bioinformatics algorithms into the company's software platforms, ensuring seamless compatibility with existing pipelines and workflows. • Collaborate with biologists, data scientists, and other software engineers to understand the specific requirements and constraints of NGS data analysis for internal research. • Support data analytics on a company-wide basis • Stay abreast of next-generation sequencing technologies and applications through scientific literature, conference attendance, customer interactions (mediated by the Commercial team) and provide inputs into the - Applications Development roadmap. • Actively participate in all hands-on work, identify problems and root causes, systematically troubleshoot and solve complex issues. • Conduct regular design reviews and report pro-actively to the broader team. Qualifications • 3-5+ years of industry experience (post-graduation) in the genomics/life sciences space • MSc or higher in bioinformatics, computer science, mathematics, statistics, or related disciplines. • Demonstrated experience with cloud computing infrastructure like AWS (EC2, S3, ECR). • Proficient with relevant bioinformatics tools and libraries. • Experience with containerization (Docker, Singularity). • Strong proficiency in Python. • Proficient with version control like Github or Gitlab. • Ability to analyze and synthesize, understand the bigger picture and master the fine details, think laterally, and solve technical and other problems creatively. • Self-motivated, ability to work independently, and report progress proactively and efficiently. • Proven ability to work collaboratively in a highly interdisciplinary environment. • Excellent verbal and written communication skills. • Continuous learner who embraces a growth mindset. This is a full-time position that requires a significant amount of in-person work and collaboration. We ask that you can come onsite to our Seaport Office in Boston, MA 5 days a week. Our Benefits And Perks Robust Equity Program, to build future wealth through stock options with high growth potential Comprehensive Healthcare Coverage, including Medical, Dental, & Vision HSA, FSA, and Sponsored Commuter Benefit Plans Access to Our 401K Plan, to save for your future 12 Weeks of Paid Parental Leave, which can be taken over 12 months Unlimited Paid Time Off, because we understand the importance of time off for rest and adventure 10 Paid Federal Holidays Twice Weekly On-site Lunches, variety snacks, beverages, & treats Weekly Paid Coffee Date with Colleague Monthly Team Happy Hours We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, and we actively seek out and value diverse perspectives. Women, people of color, people who are differently abled, and members of the LGBTQ+ community are encouraged to apply. Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of bio-automation

About Us: As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community by leading innovation across our system. Founded by Brigham and Women's Hospital and Massachusetts General Hospital, Mass General Brigham supports a complete continuum of care including community and specialty hospitals, a managed care... organization, a physician network, community health centers, home care and other health-related entities. Several of our hospitals are teaching affiliates of Harvard Medical School, and our system is a national leader in biomedical research. We're focused on a people-first culture for our system's patients and our professional family. That's why we provide our employees with more ways to achieve their potential. Mass General Brigham is committed to aligning our employees' personal aspirations with projects that match their capabilities and creating a culture that empowers our managers to become trusted mentors. We support each member of our team to own their personal development-and we recognize success at every step. Our employees use the Mass General Brigham values to govern decisions, actions and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration. General Summary/ Overview: At Mass General Brigham Digital, we pride ourselves on our ability to create maximum strategic, clinical, and operational value from established and emergent technologies for our patients, care teams, researchers, and employees. Digital health will not only enhance the equity and efficiency of healthcare delivery, but it will also help make medicine more personalized and precise. We recognize that increasing value and continually improving quality while maintaining an inclusive focus are essential to organizational excellence, and we invite you to join us on this journey. The work we do in Digital is a strategic imperative, and there is a strong and growing understanding of how together we will transform Mass General Brigham in innovative and impactful ways. This is a position supporting MGB Pathology Informatics. Pathology Informatics drives the application of clinical bioinformatics, digital pathology, and other clinical/research/education informatics needs in the department. We develop and leverage software solutions and integrated data to improve the delivery of patient care. The successful candidate will join an existing informatics team which has developed, maintained, and continue to innovate/improve solutions for clinical pathology informatics. Position Summary: Reporting to DevOps Manager The Software Engineer II position requires expertise in various programming languages, database management, web development, and modern technology stacks to develop and maintain software solutions that support our clinical care, educational, and research initiatives. To excel in this dynamic and intellectually challenging position, the candidate must be adaptable, collaborative, and possess excellent technical and communication skills. The full-time position is remote, requiring prompt availability on our business communication platform during business hours. The incumbent participates in the design, development, testing, and implementation of new software solutions in collaboration with MGB Resources. This includes but is not limited to improving operations in the anatomic pathology and laboratory medicine divisions of the pathology department. S/he understands the need to acquire new skills and understand contemporary concepts, including standards (e.g., FHIR, DICOM), to enrich the development of new and existing software products. The incumbent will provide on-going support of live applications, focusing on troubleshooting and problem-solving, ensuring the reliability and functionality of existing systems. S/he is responsible for being able to identify complex problems in existing applications, their probable causes, and their impact on operations, report them to the appropriate parties, and offer possible solutions. S/he is able to independently and/or collaboratively bring code bugs and other issues to complete resolution and acts as a liaison to user groups. S/he pursues opportunities for self-development and demonstrates a commitment to excellence and delivery of high-quality customer service. Principal Duties and Responsibilities: Software Engineer II can handle more complex tasks independently and may work on larger components of a project. They have a deeper understanding of the codebase and contribute to design decisions. Possess ability to work more autonomously and require less supervision by management. Take on multiple coding tasks/projects at the same time. Staff levels employees have a proven record of diagnosing and solving problems in a multi-task environment and are able to prioritize tasks effectively. Perform Clinical Production Support and help pathologists and scientists in resolving issues independently Possess excellent communication skills. Design and develop software solutions that meet product requirements. Collaborate with product managers and stakeholders to gather and refine software requirements. Implement and maintain software features and improvements. Conduct thorough testing and debugging to ensure the quality and reliability of the software. Train junior engineers and provide technical guidance. Design, implement, test, maintain and support web applications for clinical lab informatics, bioinformatics, digital pathology, anatomic pathology, and clinical pathology Practices software development, unit testing, integration testing, code review, documentation, and version control Improve the current pipeline automation by developing on the feature requests and enhancements from the end users Collaborate with other IS group staff on the development of software and custom scripts to automate data retrieval, improve user interfaces, create new statistical tools and reports, etc.. Independently design new tools to improve operations in the Department of Pathology. Performs all other duties as assigned. Bachelors degree in bioinformatics, computer science and/or the life sciences Required. Generally hold a Masters degree and 3-5 years of experience or a Ph.D with 0-3 yrs of experience. Programming using C#, ASP.NET/Python SQL proficiency using SQL Server Services and Web API development using C# (Experience with Java, Perl, Node JS is a plus) Formal agile software development Formal experience with continuous integration/continuous development Experience working in clinical health care preferred. Strong understanding of software design patterns and principles. Familiarity with version control systems and agile development methodologies. Skills/Abilities/Competencies: Back end and API development using Python, or NodeJS or C#, Java, R, Perl (Fast API is a plus). SQL proficiency using MySQL and/or SQL Server, knowledge of NoSQL and other DBMS (e.g., PostgreSQL, MongoDB, Apache CouchDB) a plus Web development using Angular 6 , Python Flask (ASP.NET would be a plus). Experience with backend programming languages such as python, PHP, or Java preferred Experience in RESTful programming, designing RESTful APIs, deploying web services, and configuring web servers (e.g., Apache, NGINX) Experience with Linux container engines and container orchestration systems (e.g., Docker, Kubernetes) preferred Experience with cloud computing a plus Experience with workflow management platforms a plus (Airflow, Argo) Familiarity SDLC principles. Strong interpersonal skills and ability to effectively interact with all levels of staff and external contacts. Excellent analytical, organizational and time management skills. Ability to work in a highly collaborative and intellectually challenging environment Excellent oral and written communication skills Ability to rapidly assess, learn, and implement new technologies / services as new needs arise, as well as communicating use of those technologies Excellent attention to detail Ability to work independently, self-motivated Strong communication skills to be able to work effectively with multidisciplinary staff, interacting with individuals at many levels of multiple institutions Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This position requires occasional local travel to MGB sites, vendors, and/or conferences Hospital work environment working conditions include possible exposure to diseases or infections and may require safety gear (PPE) such as gloves and mask. Normal office working conditions. The noise level in the work environment is quiet to moderate. While performing the duties of this job, the employee is frequently required to sit; talk; or hear; use hands to finger; handle; or feel; reach with hands and arms. The employee is occasionally required to stand; walk; and stoop; kneel; or crouch. The employee must frequently lift and/or move up to 5 pounds and occasionally lift and/or move up to 20 pounds. Specific vision abilities required by this job include close vision, distance vision and depth perception