Bioinformatics Jobs

Overview The Bioinformatics Technical Program Manager is responsible for the vision, roadmap, execution, operational support and life cycle management of the particular Program. The BxPM works at the intersection of Technology, Business and User experience, ensuring the Program meets the needs of current/future organizational priorities and goals. Responsibilities • Laser focused on understanding and representing the voice of customer • Define vision of the Program • Align stakeholders around the vision of the Program • See through the conception, execution, implementation, operation and training • Negotiate and prioritize Program features and capabilities • Promote synergistic, collaborative and empowered teams • Understand and monitor the technology and competitive landscapes • Negotiate pricing for underlying technologies, licenses or dependencies and manage budget for the Program development and ops. • Manage Program backlog • Define or contribute to definition of user stories • Be accountable for execution by working closely with the research, data science and development bioinformatic teams • Communicate clearly with Program team and business stakeholders • Serve as the Program expert • Minimize risk and plan to avoid single points of failures • Escalates issues as appropriate Qualifications Required Work Experience: • BS with 5+ years of work experience developing or managing biological software programs or 3+ years with a Master’s Degree or 1+ years with a Ph.D. • 3+ years subject matter expertise in bioinformatics or specific area of life sciences • 3+ years software engineering experience • 3+ years experience in program management EDUCATION Bachelor’s Degree(Required)Doctorate DegreeMaster’s Degree EEO Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

ABOUT PLASMIDSAURUS Plasmidsaurus is on a mission to accelerate new cures and promote a healthier planet by unlocking new productivity levels in scientists using DNA tools to bring their ideas to life. The company’s DNA sequencing services are used daily by thousands of innovators, including Nobel Prize winners, dynamic biotech startups, pharmaceutical companies, research labs, and DIY biohackers, and have been cited in more than 800 publications to date. Plasmidsaurus’s global network of labs operates day and night to enable world-changing discoveries. For more, visit: Plasmidsaurus. JOB SUMMARY As a Bioinformatics Pipeline Engineer, you will be responsible for the design, development, and maintenance of bioinformatics pipelines, primarily using Oxford Nanopore reads. You will collaborate with the bioinformatic and wet lab scientists to understand and implement the specific pipeline goals, while applying your software engineering expertise. A primary focus will be ensuring that our pipelines are robust, scalable, and meet high coding standards. In this job you will: • Develop and maintain bioinformatics pipelines using Snakemake • Optimize existing pipelines for performance, reliability, scalability, and maintainability using best practices • Troubleshoot and resolve issues in pipelines, including handling edge cases related to biological and sequencing artifacts • Collaborate with both scientists and engineers • Provide support and training to the tech support team on pipeline usage and troubleshooting • Explore and integrate new bioinformatics tools and technologies to improve pipelines REQUIRED QUALIFICATIONS • PhD +1 year production bioinformatics pipeline experience, or Master’s +3 years experience, or Bachelor's +5 years experience • Significant Snakemake experience (or Nextflow) • Production bioinformatics pipeline creation, following best practices • Conda • Docker / Apptainer / Singularity • Git + GitHub • Python • Bash • Ability to write clean, maintainable, and production-ready code • Strong understanding of molecular biology and sequencing technologies PREFERRED QUALIFICATIONS • Experience with long reads (Oxford Nanopore preferred) • Performance compiled language (C++, Rust, etc) • AWS lambda • AWS S3 • AWS RDS • Github Actions • REST API • Ansible • SQL alchemy • SQL (PostgreSQL) • GMP software experience BENEFITS • Hybrid work schedule • Employee Stock Options • 4 Weeks Paid Time Off + 10 Paid Holidays • Health, Dental, and Vision Insurance • 401(k) with Matching • Plus: Life Insurance, Mental Health Coverage, Health Advocate, and Gym Membership WHY PLASMIDSAURUS? • IMPACT: Your work will directly and immediately contribute to accelerating biotech research. This research is one of humanity’s most powerful tools for stopping climate change and developing novel therapies. • INNOVATION: Work on the cutting edge of biotech and software, introducing indispensable tools to top-tier researchers. • COMMUNITY: Join a passionate, scrappy team that values close, interactive relationships with our customers and each other

Department: Location: Health Sciences Center Time Type: Full time Worker Type: Regular Job Req ID: R105716 Minimum Requirements: Master's degree in Bioinformatics, or related field and four (4) years of related experience. Additional experience may NOT be used to offset the educational requirements. Grade 9 (Salaried) Position Description: The Genomics Training and Education Center (GTEC), was founded by the Brown Cancer Center and KY-INBRE NIH-P20 in July 2022, to provide comprehensive training and education in the field of Genomics. GTEC was established on the premise that the increasing complexity of genomics data demands additional training for students and researchers in data generation, analysis, and interpretation. The Bioinformatics Specialist IV will possess extensive experience in bioinformatics techniques as well as familiarity with NGS data acquisition methods. The individual will collaborate with multiple departments and Core Facilities to provide training sessions for students and researchers at UofL and for KY-INBRE related regional colleges. Essential job duties: • Collaborate with Bioinformaticians from the BCC and KY-INBRE Bioinformatics Core, Clinicians, Researchers, Post-Docs and Students, not only from different departments and schools at the University of Louisville, but also from Regional Institutions across the State of Kentucky and within the framework of the KY-INBRE network to ensure seamless integration of wet lab and bioinformatics workflows. • Supervise larger groups of undergraduate and graduate students for training sessions in the areas of data analysis and data acquisition. • Direct, oversee and create training sessions for researchers including data analysis, data interpretation, and data acquisition considerations, such as library preparation strategies. • Develop training modules for faculty and students, to access and harness the value of existing publicly available data to test their hypotheses using public data repositories, such as Encode, The Human Cancer Atlas and cBioPortal. • Collaborate with researchers to interpret their data in a biological context. • Evaluate and train researchers in the usage of AI and machine learning algorithms used for cell type prediction and annotation. • Direct high-school level science program to meet the goals of KY-INBRE to increase interest and attract talent to Computational Biology careers. • Foster a collaborative and innovative research environment. • Maintain detailed records of protocols, results, and analyses, as well as Core usage. • Prepare reports and presentations summarizing research findings and Core usage for internal and external stakeholders. Preferred Qualifications: • Teaching/Education Certificate • Ph.D. Degree • Bioinformatics NGS Analyses (such as RNASeq, spatial transcriptomics, scSeq). Data Acquisition of NGS Data (in depth knowledge of different sequencing and barcoding approaches, library preparation and strand orientation methods, as well as limitations of different Sequencing technologies). • Strong understanding of biological processes • Strong familiarity with public data repositories, such as Encode, The Human Cancer Atlas and cBioPortal • Experience with data structures in public data repositories • Python, R, or Perl programming • Linux and cluster computing • Experience in education and mentorship • Willingness to complete annual Youth Protection Certification and the ability to develop a curriculum for a high-school program will be required The Brown Cancer Center encourages candidates to apply who have demonstrated capacity to create inclusive work environments, will work effectively on increasingly diverse teams, and will serve the increasingly diverse students we admit and want to attract. Target Compensation Maximum: $110,400.00 Target Compensation Minimum: $73,600.00 Compensation will be commensurate to candidate experience. Equal Employment Opportunity The University of Louisville is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, sex, age, color, national origin, ethnicity, creed, religion, disability, genetic information, sexual orientation, gender, gender identity and expression, marital status, pregnancy, or veteran status. If you are unable to use our online application process due to an impairment or disability, please contact the Employment team at employment@louisville.edu or 502.852.6258. Assistance and Accommodations Computers are available for application submission at the Human Resources Department located at 215 Central Avenue, Ste 205 - Louisville, Kentucky 40208. If you require assistance or accommodation with our online application process, please contact us by email at employment@louisville.edu or by phone 502-852-6258.

The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 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. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

SHIFT: Day (United States of America) Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Bioinformatics Scientist III position is an intermediate level position for a PhD level professional and a final stage position for those with high experience without a PhD. The focus of the position is collaboration-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a low degree of supervision with expectation for highly independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Bioinformatics Scientist III will apply best practices in collaborative science as a bioinformatics domain scientific collaborator. Academic output is a focus of this position and is expected with a low degree of supervision. The Bioinformatics Scientist III is primarily focused on taking a lead, proactive scientific role in teams and projects as a bioinformatics domain expert. The Bioinformatics Scientist III must be able to perform all responsibilities listed in the Bioinformatics Scientist II job description. All responsibilities listed in this description are additional. What you will do • Pre-Analysis (10%): Actively participate in the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Lead development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances • Coding (10%): Code and generally support code and applications on behalf of collaborative project and/or team. • Master best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations • Lead peer-to-peer code reviews by participating in informal and formal critical code reviews • Data Analysis (30%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team • Lead regular peer-to-peer review of analysis plans in both informal and formal settings • Develop multiple specialty analytical areas that serve one or more collaborative teams • Lead adoption of best practices in specialty analytical or biomedical areas by the bioinformatics group and peers • Collaboration (30%): Lead bioinformatics portion of scientific collaborations as the primary bioinformatics resource • As bioinformatics point, assume management role for projects of low-to-moderate complexity, including all aspects of timelines, risk identification and mitigation strategies, and communication mechanisms • Directly manage all elements of project satisfaction and performance relative to scientific project aims • Promote continual objective, hard discussions about overall health of project and relationship • Develop new collaborations with moderate degree of supervision • Academic Output (20%): Lead project-based presentations, grant sections, and manuscript sections with subsequent review by peers and mentors • Regularly coordinate and write bioinformatics-focused manuscripts and publications • Regularly coordinate and lead podium presentations and posters • Proactively contribute to entire bioinformatics and other sections of grant and award proposals Education Qualifications • Master's Degree Required • Doctorate biological or computational discipline Preferred Experience Qualifications • At least five (5) years experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. Required Skills and Abilities • Ability to, under supervision, conceive of, plan, implement, validate, and disseminate entire research projects is required. • Ability to assume principal investigator or similar role in academic research is preferred. • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required • Experience with Python, Perl, or other languages required. • Experience with pipeline or workflow development frameworks preferred. • Experience with management and analysis of complex data types required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Experience with genomic/proteomic data analysis methods required. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture required. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is required. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is required. • Ability to leverage unique knowledge of bioinformatics, applied biostatistics, molecular biology, and measurement platforms for effective scientific discussion with biologists and clinicians is required. • Ability to determine most favorable academic output as a primary research outcome is preferred. • Ability to objectively critique results and present as valid or questionable, taking into account all aspects of study design, technical issues, and limitations of workflows is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills • Ability to independently plan and execute analyses of moderate complexity required • Ability to provide objective validation of results required • Ability to work in a team environment. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. Position Summary We are seeking a highly motivated PhD student to join our group for a paid 10-week summer internship program. The successful candidate will work with their mentor to combine systems biology analytical methods with spatially resolved RNA sequencing. We use a proprietary co-expression network construction algorithm to identify gene signatures in spatially resolved RNAseq in pancreatic ductal adenocarcinoma (PDAC). We will use spatial information to find associations between gene signatures and distance between tumor and stroma or other relevant tissue features. This project will help identify tumor-stroma interactions and help generate hypotheses for developing solid tumor CAR-T therapy. The candidate will join a multidisciplinary team within the Cancer Immunology and Cell Therapy (CICT) team and work in collaboration with disease subject matter experts. At the end of the summer, the candidate will present their results to the entire Informatics and Predictive Sciences group. The candidate will have an opportunity to learn from experienced computational biologists, collaborate with biologists and clinicians, and gain a better understanding of the complexities of drug development from an industry perspective. Key Responsibilities • Using and developing systems biology algorithms and machine learning methods • Analyzing single-cell RNA sequencing or spatial transcriptomics data with the aim of deciphering immune, stromal and tumor cellular states and other disease properties to facilitate the development of novel therapeutics and to identify applications of existing therapies to improve patient outcome. • Integrating independent datasets with differing sample and assay types to address fundamental questions in immune response and/or evasion. • Deliver and communicate analysis results to the team Qualifications & Experience • A strong foundation in biochemistry, cancer biology or immunology • Experience in applied statistics and machine learning • Experience with RNA sequencing, bulk and single-cell - spatial transcriptomics a plus • Experience in R or Python (R preferred) • Experience with systems biology, network or graph theory is a plus • Experience with version control systems such as Github is a plus • Currently enrolled in a PhD program in computational biology, biostatistics, or a similar field • Must be able to work full-time for the program’s duration • Excellent communication and presentation skills If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Overview: The Bioinformatics Pipeline Engineer will work as part of the New York Center for Rare Diseases (NYCRD) at Montefiore-Einstein. They will work closely with the Variant Interpretation Scientist to develop, implement, maintain and upgrade the software needed to analyse genomic data, using computationally efficient and secure pipelines within a local high-performance computing or remote cloud architecture. While current short-read sequencing technology will be part of their responsibility, they will focus innovation on long-read sequencing data, and on the incorporation of Human Phenotype Ontology (HPO) terms in the diagnostic process. Towards the latter goal, they will maintain and further develop our GenomeDiver software and interface, and work with the team from the Center for Health Data Innovations (CHDI) at Montefiore-Einstein on the ingestion of HPO terms mined using Natural Language Processing from patient notes in the electronic health record system. The goal will be to discover the genetic cause of the patient’s rare disease, working in an innovation environment with internal and external colleagues committed to improving rare disease diagnostics and promoting equity in diagnostics in individuals of all genetic ancestries. The position requires being on-site but with flexibility to build a hybrid model once the NYCRD infrastructure is developed. Requirements • Bachelor's degree required (advanced degree such as an Master's Degree or a doctoral MD or PhD degree strongly advantageous) • At least 3 years of relevant experience required • Python or R basic competency • SQL basic competency • Scala/Java experience advantageous • Javascript and Web Development experience a positive • Experience in building, maintaining, and troubleshooting analytical workflows for massively-parallel sequencing data in high-performance computing and cloud environments. Department: Pediatrics Bargaining Unit: Non Union Campus: CHAM Employment Status: Regular Full-Time Address: 1300 Morris Park Avenue, Bronx Shift: Day Scheduled Hours: 8:30 AM-5 PM Req ID: 222002 Salary Range/Pay Rate: $93,750.00 - $125,000.00 For positions that have only a rate listed, the displayed rate is the hiring rate but could be subject to change based on shift differential, experience, education or other relevant factors. To learn more about the “Montefiore Difference” – who we are at Montefiore and all that we have to offer our associates, please click here. Diversity, equity and inclusion are core values of Montefiore. We are committed to recruiting and creating an environment in which associates feel empowered to thrive and be their authentic selves through our inclusive culture. We welcome your interest and invite you to join us. Montefiore is an equal employment opportunity employer. Montefiore will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law. N/A

• Job Type: Officer of Administration • Regular/Temporary: Regular • Hours Per Week: 35 • Salary Range: $65,000 - $75,000 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 seeking a dynamic and motivated individual to join our research team in exploring genetic and molecular variations within precision medicine. At the Center for Precision Medicine and Genomics (CPMG), our mission is to enhance disease prevention, diagnosis, and treatment through cutting-edge research. We are dedicated to integrating personalized medicine into clinical practice and establishing genetic medicine as a standard of care. The ideal candidate will be an integral part of a cohesive team composed of clinicians, research scientists, and genetic counselors, all working collaboratively on transformative projects. This role offers an engaging, interdisciplinary environment with opportunities to learn the fundamentals of genomics and precision medicine. Responsibilities Under the close supervision of the Bioinformatics Lead and the Director of CPMG, the Bioinformatics Analyst will: • Collaborate with faculty and a team of genome analysts to analyze and interpret sequence data. • Support research studies through bioinformatics and statistical analyses, including the implementation of computational models, database management, and the use of various statistical packages. • Contribute to the development of new platforms and solutions for large-scale integrative analysis of genomic data. • Assist in the evaluation and implementation of new pipelines and methods for analyzing next-generation sequencing (NGS) datasets. • Perform other related duties as necessary. Minimum Qualifications • Bachelor’s degree in a STEM discipline or equivalent education, training, and experience, plus two years of related experience. • Demonstrated problem-solving skills. • Ability to work effectively within a team. • Strong organizational and communication skills. • Willingness and initiative to learn and adopt novel tools, methods, and technologies in a rapidly evolving field. Preferred Qualifications • Strong programming skills (e.g., Python, Java, R) and experience in *NIX environments. • Solid understanding of genetics, bioinformatics, and statistics as applied to NGS datasets. • Experience in analyzing large NGS datasets. • Proven problem-solving abilities and strong organizational and communication skills, with a desire and capability to work effectively in a team environment. Other Requirements • Successful completion of applicable compliance and systems training requirements. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Imagine being involved with innovative projects that change the course of our industry daily! At Labcorp, one of the world’s largest and most comprehensive pharmaceutical solutions service companies, you will have an opportunity to build an exciting career while you make a direct impact on the lives of millions. We have an excellent career opportunity for a Sr. Bioinformatics Scientist to join our growing team. This is a US remote based position. If you have a comprehensive grasp of genomics and next generation sequencing, this is an ideal position for you! Position Summary The Sr. Bioinformatics Scientist’s role centers around creating workflows, tools, and algorithms to complement assay/product development. They will have the ability to deconstruct a problem statement into components which can be resolved programmatically. They will have the ability to work well independently, be well organized and collaborative with clear communication skills. They will be responsible for scaling our pipelines as we work toward our goal of providing low-cost genetic answers to millions of people. As necessary, they will assist the Clinical team in ad-hoc analysis and research required to meet regulatory requirements. Preferred Qualifications: • Working knowledge of standard bioinformatic tools used in NGS pipelines • Working knowledge of pipeline workflow engines: Nextflow, Snakemake • Strong knowledge of Genomics and Molecular Biology • Solid understanding of Illumina sequencing technologies and metrics • Formal software development experience • Understanding of Cloud Computing Essential Duties: • Develop high-performance bioinformatics workflows that can accurately and reliably analyze large volumes of NGS data using Nextflow in a system agnostic manner • Build and evaluate algorithms and statistical models to improve existing genetics applications within and beyond NGS technologies and create novel ones • Collaborate in a cross-disciplinary team by building, deploying, and maintaining software solutions compatible with distributed and/or containerized systems • Develop best practices for analysis of NGS data including optimization of parameters, resource utilization, and consensus approaches across various NGS applications • Mentor team members in a wide range of bioinformatics algorithms and the utilized statistical/probabilistic techniques, including awareness of accuracy, efficiency, assumptions, and limitations. • Mentor budding engineers/scientists by participating in code review/analysis sessions • Drive genetics assay method development in a cross-disciplinary setting by critically analyzing and deriving insights from experimental data (including NGS, arrays, and novel technologies) using open source NGS tools and building custom tools when needed • Develop reproducible analysis for research and development purposes • Review, understand, and stay in compliance with Labcorp HIPAA Security policies and procedures • Optionally, maintain a visible profile in the Bioinformatics community through publications, conference presentations, and collaborations Education/Experience • Masters with 8+ years’ experience in Bioinformatics or Computational Biology • PhD with 5+ years’ experience in Bioinformatics or Computational Biology preferred Application window open through: 10/13/24 Salary Range: $155,000 - $185,000 (USD) Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Why People choose to work at Labcorp: At Labcorp, it is our people that make us great – it is what our clients, our partners and, most importantly, what our employees say. Here, you will have the opportunity to collaborate with extraordinary people with diverse viewpoints. You will discover your own outstanding potential as we build an even stronger organization with industry leaders from early development to the clinic and beyond. We help our clients develop medicines that improve health and improve lives of their family and friends. Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters. The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Roche Sequencing Solutions (RSS), a business within Roche Diagnostics, focused on developing a disruptive Next-Generation Sequencing (NGS) platform along with a portfolio of reagents, assays and informatics solutions for multiple disease areas. We are looking for a Principal Bioinformatics Scientist in the NGS Algorithms and Applications team to support the algorithm development efforts. In this role, you will collaborate closely with assay scientists, software engineers and other bioinformatics scientists and apply your strong knowledge in next generation sequencing technologies. This will include illumine SBS (sequencing by synthesis), nanopore, etc. to design and develop algorithms for read processing, alignment, and variant (SNV, SV, insertions/deletions, CNV, TMB, MSI) callers etc. This will be used in our products that will affect patient care. The Opportunity: • Lead algorithm development effort for NGS applications including conceptualization, method development and implementation of production level algorithms in an Agile environment. • Follow software development process and deliver and maintain documentation that explains why and how as well as the final design for scientific, marketing, and regulatory uses • Present internally or externally (peer-reviewed publications or conference proceedings) and communicate updates across multiple functions in the organization. Transfer algorithm to production teams and provide scientific support for updates and maintenance • Support bioinformatics pipeline to continue development for existing products. Who You Are: • You have a PhD in Bioinformatics, Computational Biology, Computer Science, Statistics, Mathematics or other quantitative field combined with 3+ years of industry/post-doc experience of designing novel algorithms for NGS data analysis for example read processing, variant calling (SNV, insertions/deletions, CNV, SV, TMB, MSI etc.), variant annotation and analyzing large scale complex genomic datasets. • You have 2+ years of experience in developing novel algorithms, complexity analysis, as well as demonstrated skills in statistical and mathematical modeling • You have experience implementing high-quality and efficient product level code. • You have 2+ years of experience of sequencing (long and/or short read), cancer molecular biology, bioinformatics tools, statistical methods. • You are proficient with programming languages (C++) in a distributed Linux environment • You have hands-on experience using a workflow management system such as Nextflow or Snakemake, using Docker and cloud computation resource and storage Preferred: • You have one or more first/co-first author publication(s) in a high-impact peer reviewed journals • You have experience with Machine learning / Deep learning (used in NGS context) The expected salary range for this position based on the primary location of Santa Clara, CA is 134,800-250,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. This position also qualifies for the benefits detailed at the link provided below. Benefits Relocation benefits are not available for this position Who we are At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.