Bioinformatics Jobs

Senior Bioinformatics Expert/Scientist within the Quantitative Science and Statistics group. Working in a highly collaborative environment, the successful candidate will build and develop bioinformatics support to next generation sequencing (NGS) technologies and platforms in advancing cell and gene therapy platform. The successful candidate is expected to play an active role in leading and managing bioinformatics initiatives and work in close collaboration with wet lab scientists and internal and external collaborators.Key Responsibilities:Work as a lead bioinformatics scientist both independently and as a member of cross-functional teams to lead the effort on NGS experimental design, data analysis and interpretation.Develop bioinformatics pipelines for NGS data analysis, data management and enabling data analysis pipelines in routine analysis. Provide troubleshooting and maintenance supports.Produce high quality written documentation including study protocols, data analysis plans and reports.Refine algorithms and tools for sequencing data analysis and propose improvements.Communicating internally with other departments and externally with collaborators about technological capabilities and gap analysis.Lead bioinformatics pipeline validation and transfer.Support the wider R&D team with general bioinformatics needEssential Requirements:PhD in bioinformatics, computational biology, biostatistics, molecular biology, virology or related discipline.At least 5 years of relevant industry work experience is required.Strong domain knowledge in genomics, excellent programming skills, and deep experience with next-generation sequencing and analysis.End-to-end complete life cycle experience in analysis and workflow/pipeline development for major NGS platforms for mutation analysis, genome mapping, variant calling and interpretation.Strong communication skills, ability to work both independently and collaboratively, to manage multiple concurrent, fast-paced projects and to work with multidisciplinary teams.Ability to set up bioinformatics computation systems from ground up.Experience in virology or viral gene therapy and working experience in GxP environment is considered a plusThe pay range for this position at commencement of employment is expected to be between $144,000 and $216,000/year; however, while salary ranges are effective from 1/1/24 through 12/31/24, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-cultureBenefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewardsCommitment to Diversity & Inclusion: The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

About MyOme MyOme's mission is to provide clinically-actionable genetic information to patients throughout their lives. To achieve this goal, we combine clinical-grade sequencing, advanced methods for genome interpretation, and easy portals for doctors and patients to order tests and access results. We firmly believe that patients own their data, and we empower them to share that data however they choose. We are led by seasoned entrepreneurs and scientists, and backed by an elite group of investors. Job Description MyOme is looking for a bioinformatician to join the team and help expand the role of genetic information in personal and family health decisions. You will collaborate with the research and engineering teams to develop and implement analytic pipelines, computational analysis, and interpretation of biological data. We are looking for an experienced bioinformatician or data scientist with a strong background in human genetics. This role will report directly to a Senior Bioinformatics Scientist. Responsibilities • Work with bioinformaticians and engineers to manage, process, analyze and interpret genomic data • Identify and develop tools for NGS data analysis including structural variant detection • Develop and test algorithms for incorporation into a production pipeline • Design and implement quality control processes • Help design and conduct clinical validation study plans and reports • Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards Skills And Experience • Master’s degree (PhD preferred) in computational biology, computer science or a related field • 3+ years experience in industry analyzing NGS data • Coding fluency such as Python or R • Experience with packages such as bwa, bcftools, samtools • Experience working with large genetic datasets such as UK Biobank, eMerge, and dbGAP. • Ability to implement new tools and evaluate open source tools quickly • Familiarity with genomic databases such as NCBI, Ensembl • Experience with detecting and interpreting different types of genetic variants • Experience managing computational tasks in a cloud environment (AWS or GCP). • Solid understanding of the Linux environment and shell scripting • Experience working with long-read technology (Nanopore, PacBio) a plus • Experience with Nextflow a plus • Excellent communication and presentation skills • Experience working in a remote team (preferred) Location, Compensation, and Benefits Location: Hybrid preferred; Menlo Park, CA 2 days/week or fully remote Compensation: 120K-150K/year depending on experience; equity; and the following benefits: • Company-paid health/vision/dental benefits • 401K and equity option • Company-sponsored meals and snacks • Commuter benefits and shuttles to train stations • Vacations and generous sick time Diversity, Inclusion, and Equal Opportunity MyOme needs people of diverse backgrounds in order to build healthcare that serves diverse patients. Diversity includes all of the dimensions of a person's being, not just race, gender identity, age, disability status, veteran status, sexual orientation, or religion. Our employees are people with different strengths, experiences and backgrounds, and who share a passion for improving people's lives and lifting up those around them. All of our employee’s points of view are key to our success, and fostering inclusion is an expectation of all of our employees. MyOme is an Equal Opportunity Employer. Why Work at MyOme? Come work with us, but only if you: • Like to work with incredibly passionate people that aspire to change the way people engage with their health at a genetic level • Like to be challenged daily by the work but also people that are smart and leaders in their respective functions • Are comfortable with the early-stage nature of companies including the ambiguity that comes with it • Enjoy challenging tasks that will push you to your limits but also help you grow along with the company • Like competitive compensation, including equity in a company backed by world-class investors and led by an experienced team that have previously formed several successful companies • Enjoy unlimited PTO, health, dental and vision benefits

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Bioinformatics Analyst (Cheminformatics) to work the UHealth Medical Campus in Miami, FL 33146. CORE JOB SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts features of interest from data relating to specific biological questions. ● Contributes to the maintenance of genomic and clinical databases. ● Performs statistical and integrative data analysis on genomics and clinical data. ● Works along-side other team members and data analysts. ● Follows standard operating procedures, documentation, and scripts to generate reports. ● Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: PhD degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: ● Skill in collecting, organizing, and analyzing data. ● Ability to recognize, analyze, and solve a variety of problems. ● Ability to exercise sound judgment in making critical decisions. ● Ability to process and handle confidential information with discretion. ● Proficiency in computer software. Department Specific Functions & Qualifications The Sylvester Comprehensive Cancer Center & the Department of Molecular and Cellular Pharmacology are actively seeking a full-time Bioinformatics / Cheminformatics Analyst to work on the UHealth campus in Downtown Miami. At Sylvester, we are at the cutting edge of healthcare innovation, leveraging artificial intelligence and machine learning to transform drug discovery and development. Our mission is to accelerate the delivery of therapeutic solutions to patients through state-of-the-art technology and groundbreaking research. The Analyst will leverage expertise in computational chemistry, bioinformatics, and AI to process and analyze large-scale biomedical, small molecule bioactivity, structural biology, image, and clinicogenomic datasets, integrating them with the Sylvester Data Portal. The successful candidate will work within an interdisciplinary team of research scientists, data engineers, and full-stack developers, using state-of-the-art software development practices to enhance the university’s research activities. Primary Responsibilities: ● Process and analyze large-scale multi-omics and drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Develop and maintain production-grade pipelines for processing and analysis of diverse biomedical datasets. ● Develop visualization and bioinformatic analysis tools for exploring diverse biomedical data. ● Integrate developed tools and pipelines with Sylvester’s internal end-user data analytics platform. ● Apply state-of-the-art AI, bioinformatics, and biostatistics approaches to cancer precision medicine. ● Write standard operating procedures and other relevant documentation. ● Develop and apply AI/ML models for structure-based and ligand-based drug design. ● Utilize computational tools to predict and optimize pharmacokinetic (PK) and pharmacodynamic (PD) properties of drug candidates. ● Design and implement algorithms to identify novel drug candidates and elucidate their mechanisms of action. ● Integrate and analyze large-scale biological, chemical, and clinical datasets to extract insights and inform drug discovery decisions. ● Collaborate with cross-functional teams to advance drug discovery projects. ● Analyze and interpret PK/PD data using advanced statistical and modeling software. ● Stay updated with advancements in computational chemistry, AI, and bioinformatics. ● Contribute to the development of new computational tools and methodologies. ● Present findings to both technical and non-technical stakeholders. ● Participate in scientific discussions and strategy meetings, providing AI/ML expertise. ● Author scientific papers, reports, and patents related to AI/ML in drug discovery. Preferred Requirements ● PhD or MSc degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience with analyzing and interpreting different omics and/or drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Experience with using common open-source bioinformatics/NGS workflows (BWA, STAR, Picard, GATK, etc.). ● Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and developing and deploying machine learning models. ● Highly motivated, strong work ethic, and able to work independently and with a team. ● Excellent skills in communication, organization, and time management. Preferred Qualifications ● For Ph.D. holders: 0-3 years of relevant experience in computational chemistry, AI, and drug discovery. ● Deep expertise with chemical toolkits such as DeepChem, ChemAxon, OEChem, or RDKit. ● Familiarity with drug discovery databases (CTRP, GDSC, PRISM, CCLE, DepMap, LINCS) and publicly available clinicogenomic datasets (CPTAC, TCGA, AACR Project GENIE, etc.). ● Experience with Cloud Computing Environments (e.g., Azure). ● Familiarity with relational (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB). ● Familiarity with container technologies (e.g., Docker). ● Experience with Generative AI tools and techniques. ● Familiarity with High Performance Computing. ● Familiarity with version control (Git). #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a full time Sr. Bioinformatics Analyst to work in the UHealth Medical campus in Miami, FL. The Senior Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Senior Bioinformatics Analyst also assumes responsibility for the development and maintenance of novel bioinformatics methods. CORE JOB FUNCTIONS 1. Develops and maintains next generation data analysis pipelines. 2. Assists in analysis pipeline and algorithms development and validation. 3. Extracts features of interest from data relating to specific biological questions. 4. Contributes to the development and maintenance of genomic and clinical databases. 5. Performs statistical and integrative data analysis on genomics and clinical data. 6. Supervises team members and other data analysts. 7. Establishes standard operating procedures, documentation, and scripts to generate custom reports. 8. Progresses material for bioinformatics tutorials and training courses. 9. Tests the characterization and integration of diverse third-party bioinformatics algorithms. 10. Adheres to University and unit-level policies and procedures and safeguards University assets. Department Specific Functions: As a Sr. Bioinformatics Analyst, you will be responsible for the bioinformatics and data analytics needs of the PSR. • Be actively involved in mass-spectrometry based proteomics data generation, processing, quality assurance analytics and visualization. • Organize, maintain, and version control FASTA formatted databases for protein and peptide ID searches. • Manipulate RNA-seq data for searching against mass spectrometry-based protein and peptide mass and intensity data. • Perform searches to translation m/z and intensity data in the amino acid sequence information and assemble that data into protein-based results. • Perform statistical analysis on label free quantitation, SILAC, and mass barcode (TMT) results to generate volcano plots and results in other visualization space(s). This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s Degree in relevant field. Master’s or PhD preferred in bioinformatics, applied mathematics, or large data analysis. Experience: Minimum 3 years of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • R-scripting and/or pearl scripting skills required. • Exceptional computer skills. • Excellent written and verbal communication skills. • Proficiency in MaxQuant, Sequest, Mascot, and Proteome Discoverer software tools. • Self-starter, diligent individual contributor, as well as delightful to work in a team environment. • Desire to apply proteomics towards improving quality of life and improving cancer diagnosis and care. • A strong publication record is desired but not required. #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A11

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Biochemistry & Molecular Biology has an exciting opportunity for a Senior Bioinformatics Analyst position. The incumbent is available within the Telonis lab at the Department of Biochemistry and Molecular Biology, University of Miami, Florida for a basic research project studying the role of gene architecture in regulating gene expression in normal physiology and in disease, including cancer. Our previous work has demonstrated that stem cells express genes of a specific architecture and retrotransposon content but as stem cells differentiate they express genes with a different underlying structure, particularly of the respective introns (BMC Biol 2021 19(1):60; Nat Commun 13(1):6524). We are seeking a highly talented and motivated computer scientist to join the lab. The candidate should demonstrate expertise in software development, with emphasis in algorithms analyzing biological “omic” data, e.g. RNA-sequencing, ATAC-seq, HiC, ChIP-seq. Prior experience in machine learning (artificial intelligence, AI) is preferred but not required. It is expected that the candidate will have the ability to develop, curate and maintain novel AI-based computational pipelines or apply existing bioinformatic tools for biological discovery. JOB FUNCTIONS 1. Develops and maintains next generation data analysis pipelines. 2. Assists in analysis pipeline and algorithms development and validation. 3. Extracts features of interest from data relating to specific biological questions. 4. Contributes to the development and maintenance of genomic and clinical databases. 5. Performs statistical and integrative data analysis on genomics and clinical data. 6. Supervises team members and other data analysts. 7. Establishes standard operating procedures, documentation, and scripts to generate custom reports. 8. Progresses material for bioinformatics tutorials and training courses. 9. Tests the characterization and integration of diverse third-party bioinformatics algorithms. 10. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS • Bachelor’s Degree in relevant field; Masters in computer science, or bioinformatics- preferred. • Minimum 3 years of relevant experience Department Specific Functions • Being responsible for the curation and analysis of “omic” biological data, including data from RNA-sequencing, DNA methylation, ChIP-seq, ATAC-seq, HiC experiments. • Development, maintaince and optimize computational software (“pipelines”) for the analysis and mining of “omic” biological data, considering factors like load time. • Developing and applying machine learning (Artificial Intelligence, AI) algorithms for answering biological questions on “omic” datasets. • Work with version control systems to manage the lab’s code repositories and facilitate team collaboration. • Assist with other lab members’ research and coding efforts, including code review to ensure code quality, performance and share knowledge. • Participate in scheduled lab meetings within the lab, department or with collaborators. • Evidence of scholarly ability (e.g. record of publication in peer-reviewed journals). #LI-GD1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A11

Description ICF seeks a Bioinformatics Analyst to support and grow our Health Analytics, Research, and Technology (HART) line of business. As a Bioinformatics Analyst, the successful candidate will perform data analysis and curation activities and support bioinformatics requirements for our clients within the federal government. This position will be responsible for data processing including interpreting, curating, and harmonizing clinical, genomic, proteomic and metabolomic data associated with tumor characterization from large scale proteogenomic programs. Responsibilities: • Provide bioinformatics services to assist scientific problem-solving in a broad range of research topics. • Analyze large molecular datasets such as proteomic data, and genomic data for clinical or basic research purposes. • Assist with the data curation activities for the scientific databases including working with scientists, publication research, and verification. • Provide support for approaches, processes, and methods for the management, integration, analysis, and visualization of data from different data sources. • Assist in management of genomic, proteomic, and other multiomic data and annotation resources. • Standardize the biomedical data using common data elements, terminologies, and controlled vocabularies • Assists in preparation of presentations at scientific meetings, documentation for scientific processes. • Develop custom scripts and software to automate scientific data analysis using Python, Per/BioPerl, R, and/or Java. • Assist in the development and maintenance of specialized, high-performance databases for different aspects of ‘omics analysis. Basic Qualifications: • Master’s in Bioinformatics, Computational Biology, Biomedical Informatics, Computer Science, or a related field. • 1+ year of experience working with biological and clinical data, particularly in genomics, proteomics, or multi-omics, with familiarity in relevant data structures and formats. • 1+ year of experience in data curation, including cleaning, transforming, and annotating raw data, and proficient in using controlled vocabularies and ontologies to ensure consistent and accurate data integration and retrieval. • 1+ year of experience in bioinformatics data analysis, including setting up and running pipelines for large-scale omics data in cloud or local environments. • 1+ year of experience in Python and R for data processing, analysis, and integration. • 1+ year of experience with SQL databases (e.g., MySQL, PostgreSQL) for structured data and NoSQL databases (e.g., MongoDB, Elasticsearch) for unstructured data, with the ability to integrate and retrieve data from both types in bioinformatics applications. • 1+ year of experience with cloud-based data platforms and APIs (e.g., AWS, Google Cloud). Preferred Qualifications : • Ph.D. in Bioinformatics, Computational Biology, Biomedical Informatics, Computer Science, or a related field. • Experience building or querying knowledge graphs, particularly for biomedical data. • Familiarity with applying machine learning and natural language processing techniques. • Experience working in an Agile environment • Familiarity with libraries or tools for data visualization (e.g., Plotly, ggplot2, Circos, Shiny, D3.js) to present complex data in user-friendly formats. • Experience with workflow management tools (e.g., Snakemake, Nextflow, Cromwell) to automate and optimize data analysis pipelines. Professional Skills: • Strong communication skills to collaborate effectively with software engineers, scientists and other team members. • Ability to document methods and workflows thoroughly. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more here: Requesting an Accommodation for the ICF interview process. Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $63,511.00 - $107,968.00 Nationwide Remote Office (US99)

The Opportunity The Faculty Cluster Initiative (FCI) at the University of Central Florida (UCF) is recruiting for a 9-month tenured professor who will act as the lead for the Genomics and Bioinformatics Cluster (https://www.ucf.edu/research/genomics-bioinformatics/). This position has an anticipated start date of August 8, 2025. An ideal candidate should have a strong background in genomics and bioinformatics, and in computational approaches used to analyze large genomic datasets. The candidate should have demonstrable leadership experience, preferably with multidisciplinary teams, and a strong record of continual extramural funding. The new Genomics and Bioinformatics Cluster lead can join any of three host departments – The Burnett School of Biomedical Sciences (College of Medicine), Biology (College of Sciences), or Computer Science (College of Engineering and Computer Science); or be jointly appointed among them as appropriate to qualifications and interest. The cluster lead will be expected to develop a research program that strengthens their tenure home department and the cluster. UCF is one of the nation's largest universities with a diverse student body of approximately 68,000 students. UCF has grown substantially in size, quality, diversity, and reputation in its first 50 years. Today, the university offers 240 degree programs. UCF is an economic engine, attracting and supporting industries vital to the region's future while providing students with real-world experiences that help them succeed after graduation. Minimum Qualifications: A Ph.D. or equivalent Doctoral degree from an accredited institution in computer science, bioinformatics, computational biology, biological sciences, biomedical sciences, or a closely related discipline. Extensive experience in cutting-edge bioinformatics methods, with applications in biological sciences, biomedical sciences, or AI in medicine. A strong, consistent, and recent funding record from the NIH, NSF, or other equivalent agencies in genomics and bioinformatics and demonstrated leadership in interdisciplinary research and/or education programs, potentially evidenced by currently, or previously, having held a leadership position at one’s current, or a previous, academic institution. To be eligible for appointment as a tenured professor upon hire, the selected candidate must have a demonstrated record of teaching, research, service, and leadership commensurate with a tenured faculty appointment at the rank of professor, in the applicable tenure home. Evidence of such a record could be demonstrated by holding the rank of full professor at one’s current institution. Preferred Qualifications: The ideal candidate would also have proficient teaching skills and the capacity to communicate effectively with both graduate and undergraduate students, whether in large or small audiences. Additional Application Materials Required: UCF requires all applications and supporting documents to be submitted electronically through the Human Resources employment opportunities website, https://www.ucf.edu/jobs/. In addition to the online application, candidates should upload a cover letter, a current curriculum vitae, a statement of career goals no more than 3 pages discussing their research, teaching, and their vision to lead an interdisciplinary bioinformatics and genomics group, and a list with contact information for three (3) professional references. In the cover letter, candidates should address their background in genomics and bioinformatics, their leadership experiences, and should identify the anticipated department(s) for their potential tenure home. NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later. Questions regarding this search should be directed to Naya Ramirez, HR Partner, Search Committee Manager, at Nayade.Ramirez@ucf.edu; or to Maria Fernandez, Human Resources Coordinator III, Search Committee Manager, at Maria.Fernandez@ucf.edu. Review of applications will begin in October 2024 and continue until the position is filled. Special Instructions to the Applicants: N/A Job Close Date: Open until filled. Note to applicants: Please keep in mind that a job posted as ‘Open until filled’ may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position. Are you ready to unleash YOUR potential? As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you’ll play an integral role at one of the most impactful universities in the country. You’ll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you’ll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you’ll have countless rewarding experiences that go well beyond a paycheck. Working at UCF has its perks! UCF offers: • Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program.  • Paid time off, including annual (12-month faculty) and sick time off and paid holidays. • Retirement savings options.  • Employee discounts, including tickets to many Orlando attractions.  • Education assistance. • Flexible work environment.  • And more…For more benefits information, view the UCF Employee Benefits Guide click here. Unless explicitly stated on the job posting, it is UCF’s expectation that an employee of UCF will reside in Florida as of the date the employment begins. Additional Requirements related to Research Positions: Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela. The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates. Department Office Of Research, Research Centers & Institutes, College Of Graduate Studies, And Burnett Honors College HR Business Center Work Schedule Varies Type of Appointment Regular Expected Salary Negotiable Equal Employment Opportunity Statement: The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President’s Statement. The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request. As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request. The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

Bioinformatics Analyst & Coordinator The Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers. To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city. It facilitates partnerships, often new and unconventional, between the government and the private sector to develop, test, and launch new initiatives. These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City. PROGRAM OVERVIEW The Public Health Laboratory (PHL) mission is to ensure the health of all New York City (NYC) residents by providing quality laboratory testing services that address the needs of the NYC DOHMH and its community partners as they respond to clinical and environmental public health concerns. POSITION OVERVIEW This position will serve as a Bioinformatics analyst & coordinator at the PHL and be involved with sequencing and data management activities within the bureau. RESPONSIBILITIES • Support onboarding pipelines & data management for current and emerging pathogens such as Tuberculosis, Carbapenem-resistant organisms, and other pathogens. This requires strong skills in BASH shell scripting and R. Python and SQL are good to have skills. • Manage the packaging and publishing of genomic sequences to public repositories such as NCBI and GISAID. • Lead and/or support the data unit in maintaining meta-data datasets for genomic sequences. • Coordinate the implementation and enhancements of high throughput sequencing and bioinformatics projects. • Participate in analytical activities as needed to support outbreak investigations and routine surveillance. • Perform research to identify and implement new analytical tools and visualization methods. • Assist with progress reports to ensure projects run smoothly. • Liaise between units and sections at PHL to identify, prioritize, and finalize goals for pathogen sequencing. • Lead efforts to improve sustainable data management and tracking across multiple units and bureaus. • Communicate effectively with lab technologists and analysts as well as internal and external partners. • Evaluate data, prepare reports, maintain records, and assist in the coordination of research efforts of the Agency. • Maintain and participate in a quality control and assurance program as required by job functions and title assignments in the laboratory. • Recognize, troubleshoot, and initiate corrective action for problems in a timely manner. • Participate in writing original manuscripts for publication based on data analyses. QUALIFICATIONS • Master’s degree in Biological science or Bioinformatics. • Knowledge of biology, high throughput sequencing, and bioinformatics are highly desired. • Strong verbal and written communication skills. Ability to work well within a management team environment. • Excellent project management skills and familiarity with project management tools. • Excellent interpersonal communication skills. SALARY • Salary range is $90,000 to $95,000 WORK SCHEDULE 9:00 am – 5:00 pm Monday through Friday In-office BENEFITS AT A GLANCE FPHNYC offers a comprehensive benefits package • Generous Paid Time Off (PTO) policy • Medical, dental, and life insurance with low or no employee contribution • A retirement savings plan with generous employer contribution • Flexible spending medical and commuter benefits plan • Meaningful work at an organization striving to advance health equity and social justice RESIDENCY REQUIREMENT You must live in New York City Tri-state area (NY, NJ, CT) in order to be considered for a position at FPHNYC. TO APPLY To apply, upload Resume, including how your experience relates to this position. Applicants who best match the position needs will be contacted. The Fund for Public Health in New York City is an Equal Opportunity Employer and encourages a diverse pool of candidates to apply.

Overview • The Genomics Research Canter (GRC) is a centre of excellence for genetics and genomics that supports both Discovery and Development. • The GRC plays an integral role towards our goal of developing extraordinary genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behaviour of and response to our drugs in clinical trials. • Within the GRC, the Department of Bioinformatics is responsible for data analysis and provides analytical insight for both internal and external data. • This involves the identification and characterization of underlying genetic, epigenetic, or genomic factors that are associated with disease diagnosis, prognosis, and response (efficacy and safety) to drug treatment, identification of new targets, and interpretation of the impact of genetic and genomic evidence from population-based studies. • To meet these challenges, we have an exciting opportunity for a Senior Bioinformatics Operation Engineer role in the GRC's Bioinformatics Engineering organization, reporting to the Lead Pipeline Development Engineer. • We are seeking a candidate who will provide the critical function of automating and processing an increasing volume of genomic data through the GRC's standardized bioinformatics pipelines. Responsibilities: • Execute GRC Standardized Bioinformatics Pipelines in multiple HPC environments (Slurm-scheduler, AWS). • Work with developers to automate and streamline NGS data processing. • Communicate with Bioinformatics stakeholders to collect parameters required for executing pipelines. • Assure delivery of results and QC metrics to Bioinformatics stakeholders. • Communicate pipeline performance feedback to Bioinformatics Engineering pipeline developers. • Curate documentation and maintain detailed records of data processing procedures and results. • Perform quality control checks to ensure accurate and reliable results. Requirements: • Bachelor's or master's degree in biology related field. • Proven experience (minimum 5 years) in processing and analysing genomics data using bioinformatics pipelines in HPC Linux environments such as slurm, SGE, or AWS batch. • Strong communication skills, with the ability to convey complex information clearly and effectively to both technical and non-technical stakeholders. • Proficient in programming languages such as Python, R, or Bash. • In-depth knowledge of genomics data analysis techniques, algorithms, and tools. • Familiarity with next-generation sequencing (NGS) data analysis. • Excellent problem-solving skills and attention to detail. • Ability to work independently and collaboratively in a fast-paced research environment. • Experience with cloud-based bioinformatics platforms preferred.

If you’re a student pursuing a Graduate degree in Bioinformatics, Computer Science, Statistics, Mathematics, Data Science, Information Technology, Biostatistics, Omics, Imaging, or related majors, you may be a fit for an Internship in many of our departments. Please apply to one Internship of interest that best matches your major. In this role, a typical summer might include the following: • Achieving a general understanding of what happens in our global organization • Completing hands-on project work that has an impact on the business • Engaging with Regeneron leadership • Collaborating with a specific hiring manager and other interns • Establishing connections with Regeneron’s diverse set of employee resource groups • Participating in professional development sessions while enjoying lots of free food and swag • Showcasing the knowledge you gained through end of program presentation sessions • Getting paid for your hard work! This role might be for you if: • You want to make a difference • You advocate for your ideas – and what they can do in the world • You’re excited to think, challenge, listen, re-think and solve • You continuously look for ways to improve • You are science-minded, ask questions and challenge conventional wisdom • You work with precision, passion, thoughtfulness and integrity • You’re ready to work with the team that can bring a great idea to life • You know this is no ordinary job Please note our intern pay ranges are determined by level of education (year in school) and degree program. • The hourly rate range for Rensselaer, NY is $17.00 - $24.25 per hour. • The hourly rate range for all other locations is: $17.00-$48.50 per hour. To be considered for this opportunity, you must be enrolled in, or accepted to, an academic program pursuing a Graduate degree (and be returning to school the semester following the internship). A cumulative GPA of 3.0 is preferred. We want someone who is able to commit to 40 hours per week for a minimum of 10 weeks from the end of May/ early June through August. Demonstrated leadership in areas such as campus activities, clubs, sports, current or previous work, or within the community is also preferred. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.