Bioinformatics Jobs

Postdoctoral Associate in Biostatistics and Bioinformatics Position Description: This postdoctoral fellow position is funded by multiple NIH projects, e.g., https://tinyurl.com/yy8xwtoq, https://tinyurl.com/bhkr2mm5, https://tinyurl.com/2f99j7df, and https://tinyurl.com/ysxhmujv The overall goal is to: (1) develop inference and dynamic prediction models using a wide variety of data, including clinical, wearable devices, neuroimaging, and –omics data from electronic health record, registry, and research initiatives; and (2) develop and apply novel statistical models to investigate gene by environment interactions and to utilize bioinformatics resources and high-dimensional –omics data to elucidate the biological significance of the statistical analysis. The postdoctoral fellow, under the mentorship of Dr. Sheng Luo (https://scholars.duke.edu/person/sheng.luo), is required to work on at least one of these objectives. The application areas include neurological diseases, aging research, cancers, and radiology. The work will involve both methodological research with biostatistics faculty and collaboration with biomedical investigators. Requirements and Expectations: A Ph.D. in statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in functional data analysis, tensor regression, high-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programming, collaboration, and communication skills. Compensation and Benefits: We offer a very competitive salary and excellent benefits. Visit the Duke University Office of Postdoctoral Service website at http://www.postdoc.duke.edu and Duke HR website at www.hr.duke.edu for details. Start Date: Negotiable Application: Please include CV, contact information for 2-3 references, and a cover letter addressing the research interests. An optional Research Statement (one page or longer) is encouraged.

At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. You will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. Bioinformatics, US Operations – the role As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Operations group, part of the Research and Development organization, in Advanced Diagnostics based in Marlborough, MA. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Operations group supports, hones, and executes the processes defined by our Engineering and Lab Operations groups with emphasis on compliance and continuous improvement. While coupled tightly to regulation through standards in validation, documentation, and data retention, the group is an integral part of the development cycle of our analysis workflows and visualization. This position is 100% remote and the professional must be located in the US. • Execute and improve sequence analysis workflows and automation • Track, troubleshoot and mitigate issues encountered in processing production samples • Assist in planning and development of solutions to recurring issues to be merged back into development branch maintained by the Engineering group • Develop web-based results display and dashboards for clinical geneticists, medical directors and operations lab personnel providing clarity in our process • Generate, wrangle, merge and glean information from varied and complex data sets Design and implementation of RESTful APIs linked to various systems including LIMS, AWS job runners and other systems necessary for data processing and execution • Design and perform validation, testing, and production deployment of systems and software to standardize processes across all Quest Diagnostics genetic testing labs • Design and perform validation analysis for new genomic testing products. • Support production day-to-day operations • Write and maintain production documentation for compliance and supportability of all bioinformatics processes in production environment • Work directly with medical/quality/compliance to identify, track, resolve and report on any relevant quality-related issues • Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing • Perform LIS support duties (maintain database for user, tests, clients….) • Support interface, integration, and testing projects • Utilize a Software Development Life Cycle documentation procedure • Be an active team player and support the group • Accept input on solutions from other colleagues and teams • * 5 years experience using formal programming and scripting languages • 5 years experience working on a Linux command-line to process, parse, and merge varied data sets • 2 years experience working with web services and implementing API communications (REST, SOAP, etc.) • 3 years experience in a distributed HPC environment (cluster, cloud) • Knowledge and understanding of genomics, next-generation sequencing, and bioinformatics • Experience developing and testing software • Experience with source control in a development, testing, and production environment • Automated testing experience; CI/CD experience preferred • Knowledge of CAP documentation requirements a plus • Experience communicating technical results and data is desirable Current tech stack experience is a plus Examples: • Programming Languages: Python, PERL, Groovy, javascript, terraform • Web Frameworks: Python Flask, React Native, Bootstrap • Environments: R Statistical Language, iPython, Jupyter • Visualization: Plotly, matplot lib, ggplot2/tidyverse, Tableau, d3.js • Database: SQL (e.g., postgress, MySQL), MongoDB • Cloud Computing: AWS • Infrastructure management: terraform • Pipeline Workflow Manager: Nextflow • Source Control: Git • CI/CD: Gitlab, AWS CDK • Containerizing: Docker • Microsoft UI: Access, VBA, Macros Education: Bachelor’s Degree - Required Master’s Degree or PhD - Preferred Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

The Center of Excellence (CoE) in Data Science and Bioinformatics at LabCorp Information Technology department applies various data science disciplines (including artificial intelligence, machine learning, graph databases, statistics, bioinformatics, and natural language processing) to our clinical, operational and financial challenges, and creates opportunities to enhance the value of our offerings to our customers. Additionally, it integrates the data sciences and bioinformatics efforts between the LabCorp diagnostics and drug development units and serves as a collaboration platform to foster teamwork and learning throughout the LabCorp IT organization. The internship program in this CoE provide a unique opportunity for the students to interact with the CoE personnel and get hands-on experience and knowledge of solving real life problems in data sciences and bioinformatics. It also contributes directly to LabCorp research and development efforts to address challenging data science issues and speed up critical production development efforts. Interns typically work on specific bioinformatics projects under the guidance of CBI members. A few examples of typical projects are: • Analysis of SARS-Cov-2 viral genomes samples from all over the USA to get insights into the spread of the pandemic • Research and develop next generation sequencing (NGS) analysis for Labcorp’s existing and novel laboratory tests. Typical projects would include developing pipeline to integrate the role of non-coding variants in disease or develop new Human Leukocytes Antigen (HLA) allele typing pipelines for transplant samples • Research and Development of Labcorp’s microbiome offerings, particularly, bioinformatics analysis pipeline • Copy Number Variation (CNV) Algorithm Bakeoff Project: Evaluate the performance of these tools to identify the best one to incorporate into the genetic tests offered by Labcorp • Data mining and predictive modeling of diseases using the laboratory test data on over half the US population • Using machine learning and AI to develop disease prediction models for various common and rare disease such as CKD and asthma • Application of novel genomics and bioinformatics tools to better characterize the Human Leukocytes Antigen (HLA) alleles and apply it to improve survival rates in transplantation. • Hybrid On-Premise-Cloud Bioinformatics Workflow: Develop a workflow that seamlessly integrates the results of analysis carried out in the cloud with those generated in-house Education & Qualifications: • Pursuing a BS, MS, or Ph.D. degree in computer science, bioinformatics or related discipline • Enjoy solving problems; inquisitive and analytical; engaged and motivated • Able to work both independently and as part of a larger team • Ability to see the big picture and work towards that goal • Basic understanding of genomics and biology • Familiarity with genomics related files and formats such as fastq file, a BAM file and a VCF file • Experience in artificial intelligence and statistical learning • Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods and natural language processing • Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn. • Master of evaluation techniques for supervised and unsupervised techniques. Knows to evaluate the quality of data and determine gaps in data or assumptions. • Proficiency with Python or R. Can develop meaningful python code using objective oriented programming and functional programming. Writes tests for code. Can debug errors quickly. • Strong data visualization skills. • Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow. • Experience with rational and non-structure databases is highly desirable. • Experience using cloud technologies such as AWS with tools such as S3, EC2, Lambda, Athena, etc. • Demonstrated success in technical proficiency, scientific creativity, collaboration with others and independent thought. • Ability to collaborate with the team and translate existing research into practical solutions and products ability to build and manage relationships with various collaborators across and outside the company. • Comfortable working with both technical and non-technical staff to translate concepts and algorithms into working prototypes. • Drive project execution and implement a robust plan for measuring success • Lead discussions with senior leadership at the department or functional level Interns from previous years have successfully moved on to industry positions pursuing careers in computation/bioinformatics analysis or to acquire advanced education in computation. • Remote participation in the internship is also a possibility Application Window closes 5/6/2025 Pay Range: $30-$40 hourly All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. 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. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging 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 and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), 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. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. 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.

Sciome consults with leading researchers in the field and provides bioinformatics support for experiments generating ‘omics data from a variety of health and environmental projects. Sciome has an opportunity for a bioinformatics scientist to conduct analyses in support of a variety of genomics studies that investigate the role of genetic and environmental factors on biological systems. The candidate will have a unique chance to work with leading scientists having wide ranging perspectives on scientific issues and to progress his/her career in a growing organization. The successful candidate will participate in the analysis of large, high-throughput ‘omics datasets such as those generated by next generation sequencing and microarray platforms via the application of bioinformatics and statistical methods. Projects may also include analyses of toxicological, environmental and other biological data types in addition to genomics data. Typical projects investigate changes in chromatin marks (ChIP-Seq, ChIP-Chip), gene expression [mRNA-Seq, Microarray], and the influence of genetic variations (SNPs, genetic rearrangements, etc.) in response to environmental stressors. Data analysis will be carried out using off the shelf bioinformatics analyses techniques as well as in house methodologies. Data management, analysis, interpretation, and documentation leading up to publications will be necessary for successful progression of projects. Education Masters or PhD degree in Bioinformatics / Computational Biology / Computer Science / Statistics or closely related field. Key Responsibilities • Bioinformatics analysis of genomics data arising from next generation sequencing and microarray platforms. Specific data types include Exome-seq, ChIP-seq, ChIP-on-Chip, mRNA-seq, DNA-Seq and microarray gene expression or genotype data. • Perform statistical analysis of genomic datasets and participate in methods development while working with Sciome team members. Utilize appropriate off-the-shelf tools or in-house methods and keep up with the literature on rapidly evolving next generation sequence data analysis tool sets. • Contribute towards the management of large biological datasets and maintaining data analysis workflows as necessary for analysis of sequencing and microarray data. • Participate in drafting data analysis plans per project needs, perform bioinformatics analysis of the data, interpret results and communicate the results with clients and researchers. • Document analysis workflows and methods for further report generation and/or scientific publication in peer reviewed journals. Desired Skillset Experience with analysis of Exome-seq, DNA-Seq, ChIP-seq, ChIP-Chip, mRNA-seq and microarray datasets. • Understanding of the wide range of bioinformatics tools and methods for analysis of data originating from next generation sequencing and microarray platforms. • Experience with applying appropriate statistical and/or bioinformatics analyses to large molecular biological datasets. • Familiarity with statistical data analysis methods such as generalized linear and additive models, mixed effects models and other multivariate methods, Bayesian methods, power and sample size calculation, machine learning methods for genomics as well as computational biology methodologies for microarray, SNP, and next generation sequence data analysis. • Experience with the use of statistical packages in R and experience in scripting languages such as Perl, Python or Matlab. • Software coding experience in multiple languages is preferred. • Strong communication and writing skills in English are essential. • The ideal candidate will have a proven track record of scientific publication in the fields of bioinformatics, genomics and/or the life sciences. • Must be eligible to work in the U.S. How to Apply • Send your detailed CV via email to jobs@sciome.com. • Refer to position title Bioinformatics Scientist. • Provide your accurate contact information.

A postdoctoral fellow position is immediately available in the laboratory of Dr. Wei Zhang, Professor in Cancer Biology and Director of Cancer Genomics and Precision Medicine at the NCI designated Atrium Health Wake Forest Baptist Comprehensive Cancer Center. Qualified candidates should have training in bioinformatics analyses to support the expanding emphasis on projects focused on elucidating the relationship of treatment responses, particularly immunotherapy, and the genomic landscape of patient tumors. A doctoral degree is required in related areas: bioinformatics, genomics, genetics, computational biology, biomedical informatics, computer science, medicine, biostatistics, or related disciplines. Please send a cover letter and CV to Dr. Wei Zhang, wezhang@wakehealth.edu.

Job Description The Precision Genetics group within the Data AI and Genome Sciences Department is seeking a Senior Scientist to join our Statistical Genetics team in Cambridge, MA. We are looking for a skilled statistical geneticist with experience in whole genome sequence analysis, large scale biobank data and post-GWAS analysis to identify novel therapeutic targets and support existing targets Key Responsibilities: • Statistical Genetic Analysis: Deploy statistical genetics analysis approaches on large-scale individual level genetic data (sequence and microarray) from biobanks to identify and support therapeutic targets and identify novel patient subpopulations. • Phenotype Curation: Curate electronic health records (EHRs) to create novel phenotypes for analysis • Data Collection: Proactively identify relevant genetic datasets from public, internal, and proprietary sources through collaborative efforts • Collaborative Research: Partner closely with AI/ML scientists and disease area biologists to develop tailored analytical strategies for complex diseases across various therapeutic areas. • Strategic Partnership: Serve as a strategic collaborator with discovery teams to influence the drug discovery portfolio. • Hands-On Analysis: Implement rigorous data analysis practices and remain informed about cutting-edge statistical genetics approaches, particularly the implementation of AI/ML or omics integration. • Post-GWAS analysis: Perform post-GWAS analysis to generate target hypothesis and support • Omics Integration: Integrate genetic analysis with transcriptomics and proteomics data, including colocalization and QTL approaches • Emerging Methods: Stay at the forefront of novel methodologies in statistical genetics. • Project Management: Manage complex projects, proactively identifying challenges and forecasting timelines for key deliverables to meet pipeline objectives. • Validation Collaboration: Work with wet-lab biologists and disease area experts to validate targets and identify patient sub-populations. • Effective Communication: Present findings to project teams, internal stakeholders, and the broader scientific community through internal documentation, presentations, and publications in leading journals. Required Qualifications: • Ph.D. in Statistical Genetics, Human Genetics or a related field, with a minimum of 2 years of post-PhD research experience. • Proven track record of over 2 years of applying statistical genetics approaches to large-scale population genetics resources for target discovery. • Fundamental knowledge of statistical and population genetics principles. • Strong conceptual understanding of statistical genetics analytic methods, including Mendelian randomization and fine-mapping/colocalization • Strong conceptual understanding of common statistical techniques, including regression, dimensionality reduction, network analysis, and data harmonization. • Proficiency in coding using R and Python, with the ability to establish best practices for reproducible data analyses. • Expertise in using common statistical genetics software, including PLINK, GATK, and REGENIE • Hands-on experience working with biobank data, including biobank trusted research environments (TREs) • Experience working with AWS or other cloud-based computational clusters • Excellent written and verbal communication skills. Preferred Qualifications: • Experience in fields such as Neuroscience, Cardiovascular and Metabolic diseases, Immunology, or other complex diseases. • Familiarity with integrating transcriptomics and proteomics data with genomics data • Experience analyzing longitudinal data • Conceptual understanding of AI/ML approaches, including foundation modeling #EligibleforERP As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts U.S. Hybrid Work Model Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”. San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: Domestic VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Not Applicable Shift: Not Indicated Valid Driving License: No Hazardous Material(s): n/a Job Posting End Date: 05/4/2025 • A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R347481

Division/Program Summary Description: The Division of Disease Control’s mission is to safeguard the health of New Yorkers through identification, surveillance, treatment, control, and prevention of infectious diseases, which is achieved through varied and interrelated endeavors of its seven Bureaus. The NYC Public Health Laboratory (PHL) is one of the largest local public health laboratories in the United States where employees contribute to the health and safety of NYC residents by providing clinical and environmental laboratory testing services. PHL is committed to its mission to safeguard the health of all NYC residents by providing quality laboratory testing services that support the priorities of DOHMH and its community partners to prevent and respond to clinical and environmental public health concerns. The Public Health Laboratory (PHL) seeks a qualified candidate to serve as a Bioinformatics Scientist. This position will work primarily in PHL’s Bioinformatics Unit. This position will develop and maintain analysis pipelines as well as perform bioinformatics analyses for high throughput sequencing (HTS) data. It will play an integral role in genomics analysis aimed at responding to public health threats, including but not limited to COVID-19, vaccine preventable diseases, HIV, Legionella as well as respiratory, foodborne, and waterborne disease outbreaks. This is an excellent opportunity to join our multidisciplinary team, and collaborate with local, state, federal, and academic partners. Job Duties and Responsibilities: Conducting bioinformatics analyses for sequencing data that support public health efforts Developing or improving tools related to pathogen identification, outbreak tracking, mapping drug resistance determinants, variant analysis, genome annotation and phylogenetics, genomics data visualization Strengthening the application of genomic tools to support public health diagnostic testing for pathogens from clinical and environmental samples (e.g., wastewater). Conducting literature reviews and stay up to date with cutting edge scientific and epidemiological research and tools. Mentoring and cross-training staff or research fellows at PHL Collaborating with other team members and partners on genomics data management (e.g., SQL databases, public repository uploads, other datasets). Participating in agency wide WGS journal club and genomic data exchange working groups. Developing tools (e.g., dashboards) or strategies (e.g., Docker-based pipelines) to improve accessibility of bioinformatics analyses to non-bioinformaticians (e.g., epidemiologists, virologists, microbiologists). Representing the agency in meetings and conferences. Drafting written protocols and maintain accurate records of software tools design. Writing original manuscripts for publication based on data analyses and product development. Maintaining quality assurance and control of HTS data generated by PHL to ensure reproducibility and accuracy of downstream bioinformatics analyses. This includes writing and designing SOPs and validation/verification protocols. Using best practices for code development, and documentation. Leading and participating in presentations and workshops with Quality Management (QM) at PHL to improve understanding and tracking of sequencing data and analyses quality control measures, data security and data management using resources from APHL, ASM, and others. Preferred Skills: Strong skills in Linux command line and BASH shell scripting. Proficient in R, Python, C, Java, or other programming languages. Experience in SQL. Experience in utilizing multi-core server resources, automating processes, containerization, and workflow languages. Experience with common tools for Next Generation Sequencing Analysis (NGSA), including reference-based analysis and de novo sequencing analysis (knowledge of open source and commercial microbial NGS analysis pipelines) and genome annotation. Demonstrated work in public health genomics research. An MS or PhD degree in the biological sciences, evolutionary biology, genomics, or related fields. Strong analytical and organizational skills; Excellent oral, inter-personal and written communication skills Why you should work for us: - Loan Forgiveness: As a prospective employee of the City of New York, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education’s website (https://studentaid.gov/pslf/) - Benefits: City employees are entitled to unmatched benefits such as: o a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment. o additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund. o a public sector defined benefit pension plan with steady monthly payments in retirement. o a tax-deferred savings program and o a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers. - Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home. - Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! Commitment to Equity: The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 Minimum Qualifications 1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

The EPA National Student Services Contract has an immediate opening for a full-time Bioinformatic Assistant with the Office of Research and Development at the EPA facility in Raleigh, NC. The Office of Research and Development at the EPA supports high-quality research to improve the scientific basis for decisions on national environmental issues and help EPA achieve its environmental goals. Research is conducted in a broad range of environmental areas by scientists in EPA laboratories and at universities across the country. What the EPA project is about ORD bioinformatic research serves to provide, among other functions, a bioanalytical and computational infrastructure to facilitate research on a variety of research topics. Current scientific projects range from (1) large genomic and transcriptomic dataset integration and analysis; (2) database and front-end development efforts; (3) nanoinformatics and nano-curation efforts (4) QA/QC practices for data transfer, code sharing and backup; (4) semantic mapping of biological information to address Agency questions. ORD bioinformatic research seeks to develop an integrated framework across health end points through the identification of toxicological pathways. This approach is accomplished by the use of computational and molecular approaches to characterize "key events" for biologically based models, the association of molecular key events with chemical, disease and, pathway, and the application of genetic and epigenetic approaches for understanding differential susceptibility. What experience and skills will you gain? Investigators across the Agency are involved in diverse areas of research, including systems biology, a variety of ‘omics’ disciplines, as well as database development and data curation. You will have the opportunity to be a member of a multi-disciplinary research team and work with computational biologists, EMVL contractors, and other members of ORD’s software development and informatics teams to support research efforts. In addition to scientific projects, you will be conducting work with the National Computing Center (NCC) Linux/Unix Staff to support the efficient and reliable operation of the organization’s computational cluster, platforms, storage and the associated operations and support tools. Required Knowledge, Skills, Work Experience, and Education • Experience programming in at least one modern general-purpose programming language such as Perl, Python, C++, R, or Java; • Experience programing in SQL or related structured query languages; • Experience with semantic web, ontology mapping, and structured query languages, such as RDF and sparql; • Experience in computational manipulation and analysis of diverse datatypes, such as genomic, proteomic, transcriptomic ; • Coursework or equivalent work experience with, and front-end development; • Strong written, oral and electronic communication skills; • Proficiency with Microsoft Office applications (i.e., Excel, PowerPoint, Word, Outlook); • Experience with Unix or Linux operating system; and • Experience with cloud computing services. How you will apply your skills Application and Programming responsibilities • Working knowledge of emerging computational and semantic technologies and best practices; • Maintaining existing code and scripts that may or may not access databases; • Developing code or modifying existing code for quality assurance in data transfer and analysis diverse data types; • Updating analysis software and standard procedures for server and database access, ticketing systems for software development tasks; • Creating and maintaining web components using the Node.JS web framework; • Participating in Agile (Scrum) software development; and • Participating in team code reviews, maintaining records of meetings, correspondence, and action documents, and maintain a system to track projects in progress. Communications-related responsibilities • Participating as a member of a multi-disciplinary research team; • Interacting with other members of the Bioinformatics team as well as NCC and other EPA scientists; • Translating complex computational concepts in ways that can be understood by those with varying levels of relevant technical knowledge; • Assisting with IT project execution; and • Presenting work performed in the course of their EPA student contractor service as a poster or presentation at a scientific conference or other forum. Location: This job will be located at EPA’s facility in Raleigh, NC. Hours: Full time. Salary: Hourly wage for hours worked at a rate of $21.59 per hour. Employer: Selected applicant will become a temporary employee of ORAU working as a contractor at EPA. Travel: Occasional overnight travel may be required. Working Conditions: The selected candidate will be supervised by a mentor who will provide day-to-day direction, as well as coach, advise and counsel the candidate, and review the candidate’s work. This position will involve work in an administrative setting and is not expected to involve exposure to hazardous elements. Expected Start Date: The position is full-time and expected to begin in March 2020. The initial project is through May 14, 2020 with potential optional periods. For more information, contact EPAjobs@orau.org. Do not contact EPA directly.

• *Candidates must be authorized to work in the U.S. without the need for current or future visa sponsorship. At RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. WHAT WE ARE LOOKING FOR We are seeking a highly motivated Bioinformatics Intern to join our team. This internship is ideal for graduate students (Master’s or Ph.D.) passionate about applying computational methods to solve complex biological and healthcare challenges. You will have the opportunity to contribute to projects involving genomics and single cell multiomics data, leveraging advanced analytics and machine learning to drive meaningful scientific insights. Our Bioinformatics team plays a crucial role in integrating computational biology, large-scale data analysis, and machine learning to drive discoveries in precision medicine, genomics, and drug development. POTENTIAL ACTIVITES • Analyze large-scale single cell multiomics datasets (CITE-seq) to generate insights into disease mechanisms. • Work on machine learning and statistical approaches to support biomarker discovery and precision medicine initiatives. • Develop and optimize bioinformatics workflows and pipelines for high-throughput data processing, quality control, and analysis. • Develop novel visualizations to support interactive exploration of high dimensional single cell multiomics datasets. • Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects. • Present findings through technical reports, visualizations, and presentations to cross-functional teams. MUST HAVES • Master’s or Ph.D. candidate in Bioinformatics, Computational Biology, Genomics, Data Science, or a related field. • Experience using R or Python programming languages for computational biology research. • Experience analyzing high throughput sequencing data and single cell RNA-seq data. • Familiarity with processing and analyzing data within a cloud or HPC computing environment. • Basic understanding of cancer biology, genomics, or related relevant biological fields. • Demonstrated ability to conduct reproducible computational biology research, as evidenced by Github repositories and/or scientific publications. • Strong problem-solving skills and ability to communicate complex insights effectively. Duration: 8 – 10 Weeks (40 hours per week) Location: Remote or Hybrid. Candidate will be expected to travel to our headquarters (Aurora, CO) at least once during the internship. WHY YOU’LL LOVE REFINED SCIENCE Team + Values At RefinedScience, we seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights. We maximize patient impact with these unique insights by optimizing clinical trial probability of success and time to actionable results. We work across biopharma and we are a trusted partner in achieving better results, faster – working together to unlock strategic advantage. Our Values • Act with Purpose – We believe in rigor through deliberate and thoughtful actions • Be Curious – Curiosity is the spark that ignites innovation and growth • Take Ownership – True ownership leads to pride and commitment in the work we do • Invest in Relationships – Building strong connections is the foundation for effective collaboration and trust for long term success • Embrace Agility – We celebrate agile thinking, resilience, and adaptability Compensation • $34-$38 per hour

Use your skills to cure cancer. About us: Data Driven Bioscience is revolutionizing the approach to cancer diagnosis by connecting a novel DNA & RNA sequencing assay with intelligent software. We are looking for a highly motivated individual to help with both the development of a clinical diagnostic and to support researchers involved in one of the largest genomic projects in the world. This individual will work with a team of exceptionally competent scientists and engineers. We are a small company and are looking for someone who is adaptable and can succeed in many different roles. We pay a VERY competitive salary and offer stock ownership of one of the hottest startups anywhere. This position can be remote or local. About you: This is a position for someone who wants to apply their skills to directly help cancer patients. You will develop new applications that connect cancer tests with large databases and machine learning to improve cancer diagnosis and treatment. You will continue to grow and learn cutting edge skills around machine learning, high performance computing and databases. Tasks: • Analysis of large-scale NGS data sets • Provide bioinformatics support to researchers involved in genomic projects • Troubleshoot and maintain bioinformatics pipelines While the list of qualifications below is a guide, don’t worry if you don’t check all the boxes. We are looking for someone who is really good at some of these aspects. Please apply and we’ll follow up promptly. Preferred Qualifications: • PhD. degree with 2+ years (or MS degree with 5+ years) of working experience in bioinformatics • Solid computational skills and a deep understanding of NGS data and its analysis • Familiarity with git version-control workflows • Extensive experience in NGS, systems biology and analysis of large-scale genomics datasets • Extensive experience with scientific computing, R or Python preferred • Experience with computational analysis, algorithm development, statistics, and machine learning • Strong UNIX/LINUX expertise required • Experience with NGS datasets and pipelines including pipeline testing, troubleshooting and optimization • Experience with cloud computing: AWS, Google Cloud Job Type: Full-time. Part-time and contract positions are also available.