Bioinformatics Jobs

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. Apply Now

Haystack Oncology at Quest Diagnostics is seeking to grow its laboratory informatics team as we expand our assay portfolio and introduce cutting edge diagnostic technology to the public. As a Bioinformatics Engineer - LIMS, you will be responsible for developing, configuring, maintaining, and optimizing key functionality within our cloud-based enterprise Laboratory Information Management System (LIMS) that manages the generation, analysis, quality control, and interpretation of clinical data produced by diagnostic NGS assays. The ideal candidate will possess technical development experience within a LIMS platform, a rounded understanding of clinical laboratory processes and FDA regulations, strong analytical and problem-solving skills and a collaborative and continuous improvement mindset. This is a salaried position and weekend work may be required to satisfy project timelines and to support end-users. This position can work 100% remote and may require up to 10% travel as needed. Professional must be located in the US and is expected to be available during normal business hours in the Eastern and Central US time zones in order to provide support for laboratory sites in these regions. • Work extensively within our cloud-based StarLIMS system to develop and configure frontend and backend solutions that further automate our scientific and technical processes. • Develop new or modify existing code using StarLIMS scripting languages, HTML5, Jscript, .NET libraries, and Python following industry best practices. • Develop scientific reports using SQL, Crystal Reports, and StarLIMS QBE. • Gather and analyze requirements provided by cross functional stakeholders and translate into functional requirements that allow for the development of technical solutions. • Manage workload in Jira and provide timely and accurate status updates on project-based issue tickets that are either assigned or self-assigned. • Document system configurations, procedures, and any changes for reference and compliance purposes. • Both individually and as a part of a team, troubleshoot, debug, and test technical solutions • Provide ongoing support and training to laboratory staff and stakeholders on LIMS usage and best practices. • Respectfully and clearly communicate in English both textually and verbally with stakeholders. • Other duties, as assigned, that will contribute to the success of our company and the data systems we deploy. • Bachelors' or greater degree in Bioinformatics, Computer Science or other STEM-related disciplines. • Minimum 3 years of experience in the configuration and customization of an enterprise LIMS system is required. Experience with StarLIMS is preferred. • Minimum 3 years of experience in the development of custom code using scripting and/or programming languages. • Minimum 3 years of experience with relational databases and reporting tools, including Crystal Reports. • Experience with system integration techniques including REST APIs, web services, and middleware. • Strong understanding of laboratory workflows, data management, and compliance standards. • Experience with laboratory testing and scientific equipment. • Professional experience with a bug/issue tracking system. • Understanding of software design controls and SDLC. • Ability to work effectively with minimal direct supervision in a multiple discipline environment. • Ability to manage multiple tasks and assignments simultaneously. • Ability to adapt quickly to changing priorities in a fast-paced environment. • Excellent analytical, troubleshooting and problem-solving abilities. Proficient in diagnosing and providing solutions for bugs and issues. • Excellent communication and interpersonal skills, both verbal and written in English, with the ability to translate technical information for non-technical stakeholders. • Certificates in IT related topics are a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

• Job Type: Officer of Administration • Regular/Temporary: Regular • Hours Per Week: 35 • Salary Range: $85,000 - $95,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary We are seeking a highly motivated bioinformatician to join our innovative research team at the Center for Precision Medicine and Genomics (CPMG). Our mission is to revolutionize healthcare through the integration of personalized medicine into clinical practice. We collaborate closely with clinicians, research scientists, and genetic counselors to drive groundbreaking research and translate genomic discoveries into improved patient outcomes. The ideal candidate will be a skilled bioinformatician with a passion for leveraging genomic data to address complex biomedical challenges. You will contribute to a dynamic, interdisciplinary environment and collaborate with researchers from Columbia University and beyond on a variety of national and international projects. This position offers the opportunity to make a significant impact on the field of precision medicine. Responsibilities • Bioinformatics Analysis (40%): Provide comprehensive bioinformatics support for genomic data analysis, including sequence analysis, pipeline optimization, and data management. Utilize both cloud-based and on-premise computational resources (e.g., exome, genome, RNAseq). Collaborate with team members to ensure efficient data access, analysis, and interpretation. • Communication and Dissemination (20%): Effectively communicate complex bioinformatics findings to both technical and non-technical audiences through presentations, reports, and publications. Collaborate with researchers from diverse backgrounds to translate bioinformatics insights into actionable knowledge. • Workflow Development (20%): Design, develop, and optimize bioinformatics workflows and pipelines to efficiently process and analyze large-scale genomic datasets. Explore innovative approaches to data visualization, exploration, and mining. • Mentorship and Collaboration (20%): Mentor junior team members, including students and post-docs, in bioinformatics techniques and research methodologies. Collaborate with researchers across disciplines to drive successful research projects and grant applications. • Perform additional related duties and responsibilities as needed. Minimum Qualifications • Bachelor's degree in computer science, bioinformatics, or a related field with at least four years of relevant experience. • Master's or Doctoral degree in related field would substitute for experience. • Proficiency in programming languages such as R, Python, and Bash. • Strong communication and interpersonal skills. Preferred Qualifications • Master’s or PhD degree in computer science, bioinformatics, or a related field with at least two years of relevant experience. • Expertise in workflow management tools (e.g., CWL, Nextflow, WDL) and cloud computing platforms (AWS, GCP, Azure). • Advanced knowledge of statistical and machine learning techniques. Other Requirements • Successful completion of applicable compliance and systems training requirements. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

Organization Overview Cancer remains a daunting problem despite decades of active research into its molecular causes. Such studies have predominantly focused on the earliest stages of cancer progression,such as the formation of a cancer or genes involved in the growth of the primary tumor. In humans afflicted by cancer,the primary tumor is typically surgically resected or eliminated by radiation. Vast numbers of patients,nonetheless,die of cancer as a result of metastasis or the spread of cancer cells from the primary tumor site to distal organs. This process is,in fact,the overwhelming cause of death from cancer,and its occurrence changes a patient's prognosis to incurable. Despite its vast clinical significance and inherently fascinating underlying biology,the metastatic program is poorly understood both at the molecular level and at the cellular/tissue micro-environment levels. Our laboratory employs a multi-disciplinary approach involving molecular,biochemical,computational,imaging,and clinical association methods to characterize the critical regulatory pathways that mediate the steps of this process. By implanting human cancer cells obtained from patients with breast or colon cancer into recipient mice,we study and interfere with the various stages of metastasis. By comparing human cancer cells that are highly metastatic to those that fail to metastasize,we have uncovered a set of small RNA molecules (microRNAs) that suppress metastasis. Our future work is aimed at gaining a better understanding of the mechanisms by which these microRNAs block metastasis. Our hope is that a better understanding of this process will enhance our therapeutic arsenal against it. Overview As a Bioinformatics Assistant II, you will be trained in the analysis and interpretation of next-generation sequencing (NGS) data, originating from mouse experiments of cancer metastasis as well as patients, under the guidance of postdoctoral scientists and bioinformaticians. Responsibilities Responsibilities include: • Learn and assist in analyzing sequencing data using established pipelines • Learn and perform appropriate QC measures • Learn and develop/benchmark new tools for sequencing data analysis • Assist and collaborate with internal and external researchers in interpretation of sequencing data • Other responsibilities, as assigned Qualifications Requirements: • Bachelor's degree is required; Master's degree or equivalent experience preferred • Team-oriented • Excellent written and verbal communication skills • Collaboration skills and an eagerness to learn • A working understanding of code and script Preferred: • Exposure to NGS data analysis preferred • Training in statistics or machine learning is a plus. The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $55,000.00/Yr. Compensation Range: Max USD $65,000.00/Yr.

POSITION RESPONSIBILITIES We are looking for a motivated and experienced Bioinformatics Analyst to join Dr. Robert Burk’s research group. This role is critical for supporting our ongoing research projects focused in 2 areas- the human microbiome (gut, oral and cervicovaginal), and human papillomavirus related to cervix neoplasia. The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data. The successful candidate will demonstrate a willingness and eagerness to adapt to new approaches, as the field of bioinformatics is dynamic and constantly evolving. Key Responsibilities in order of priority: • NGS Data Handling: Perform demultiplexing and analysis of NGS data using barcoding primers for multiplex NGS runs. • Practical Experience: The candidate is expected to have practical experience with bioinformatics work (handling NGS reads off the machine, etc.) and be willing and eager to adapt to new approaches. This role will be facilitated with a proactive attitude towards learning and applying new bioinformatics methods and technologies. • Data Processing and Analysis: Utilize existing pipelines to process and analyze high-throughput sequencing data reads, including amplicon sequencing, bisulfite sequencing, metagenomics, and viral integration. • Data Management: Manage and organize bioinformatics sequencing data for our research group, including papillomavirus sequences, microbiome data (16S, ITS1 and shotgun metagenomics), and human genomic data. • Large Dataset Management: Download and handle large Fastq, BAM, and/or Fasta files for analyses. • Software Utilization and Script Modification: Use existing software tools and be able to modify R scripts to generate figures and perform epidemiological analyses. • Phylogenetic Analysis: Construct phylogenetic trees to support ongoing research projects. • Collaboration and Reporting: Work closely with and report directly to Robert D. Burk, M.D., Principal Investigator, and collaborate with other lab members generating NGS data. QUALIFICATIONS • Educational Background: Bachelor’s degree with at least one year of experience in epidemiology, computational biology, or bioinformatics. • Technical Skills: Proficiency in R or Python is required. Experience in microbiome bioinformatic processing is preferred. • Communication Skills: Ability to speak clearly and express oneself well in one-on-one conversations and groups. Develops effective written communications and uses them appropriately. Ability to present at weekly lab meetings using PowerPoint or other presentation programs. • Interpersonal Skills: Interacts and proactively shares information with internal and external contacts where appropriate. Develops effective professional relationships with peers, students, and employees. • Responsibility and Problem-Solving: Assumes responsibility to ensure issues/concerns are addressed and monitors them through to conclusion. Identifies, defines, and analyzes information and situations before recommending a course of action. • Time Management: Effectively manages own time and resources. • Innovation and Technology: Seeks to apply technology and innovation to improve efficiency and solve problems related to the goals of the research group. Minimum Salary Range USD $58,500.00/Yr. Maximum Salary Range USD $65,000.00/Yr.

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.

Organization Overview Our Vertebrate Genome Laboratory conducts research and services for individual and large vertebrate genome projects such as the Vertebrate Genomes Project (VGP/G10K) that aims to sequence high-quality genomes for all 66,000 vertebrate species on the planet. https://vertebrategenomesproject.org/. Overview We seek a highly motivated individual with a strong background in Computer Science and Genomics to join the Bioinformatics team of the Vertebrate Genome Laboratory (www.vertebrategenomelab.org) at the Rockefeller University. This person will generate reference genomes of eukaryotic species as part of the Vertebrate Genomes Project (VGP, www.vertebrategenomesproject.org) and the Earth Biogenome Project (EBP, https://www.earthbiogenome.org/). In particular, the individual is expected to help achieve the following goals: • Work closely with the VGL data production and bioinformatics teams, and the broader international scientific community of the VGP, to actively generate draft high-quality genomes. • Help make the current pipeline, which is already heavily streamlined, fully automated, such that the sequencing data is automatically processed into draft assemblies along with QC, ready for manual curation. • Consistently improve the pipeline for genome assembly quality and efficiency, based on feedback from genome curators, incorporating novel data types, and adding or help in designing novel tools. Our current workflow involves: 1) in-house generation of a variety of long- (PacBio, Nanopore) and short- (Hi-C, Element, Illumina) read data; 2) in-house generation of reference-grade draft genome assemblies; 3) manual curation of the draft assemblies; 4) submission of the final, curated assemblies to the public archives. The individual will be integrated in step 2, and will be responsible to run, maintain, further develop, and improve the VGL genome assembly pipeline currently implemented in Galaxy (Lariviere et al. 2024 Nature Biotechnology DOI: 10.1038/s41587-023-02100-3). Responsibilities Responsibilities include: • Genome assembly • Genome assembly pipeline maintenance Qualifications The ideal candidate will have a sound knowledge of genomics, ideally with insights into genome assembly, genome curation and genome analysis. Required: • Master's degree required, Ph.D. preferred • Educational emphasis in computer science or computational biology • Strong programming skills, includin knowledge of computational data-analysis workflows (e.g. CWL) • Familiarity with Unix and HPC environments • The ability to work both independently and as part of a team Preferred: • Previous experience with Galaxy workflows is a plus • The ability to organize, prioritize and plan a diverse range of work to meet deadlines • An investigative and solution-orient mindset • Good communication skills • Skilled in working effectively within large national and international scientific consortia The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above. The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Compensation Range: Min USD $62,400.00/Yr. Compensation Range: Max USD $80,000.00/Yr.

Pay Range: $115,000 - $135,000 / year Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. Successful candidates may be eligible to receive annual performance bonus compensation. Benefits Information: We are proud to offer best-in-class benefits and programs to support employees and their families in living healthy, happy lives. Our pay and benefit plans have been designed to promote employee health in all respects – physical, financial, and developmental. Depending on whether it is a part-time or full-time position, some of the benefits offered may include:  Medical/Prescription Drugs  Dental  Vision  Flexible Spending Accounts (FSAs)  Supplemental Health Plans  401(k) Plan – Company match dollar-for-dollar up to 5%  Employee Stock Purchase Plan (ESPP)  Supplemental Life Insurance  Dependent Life Insurance  Short- and Long-Term Disability buy-up  Blueprint for Wellness  Emotional Well-Being Resources  Educational Assistance  Paid time off / Health Time  Variable Compensation Plans  Sales Incentive Plans Look for more than answers. 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. The Bioinformatics Engineer will maintain and support current systems in a regulated, clinical environment with patient care as our top priority. This professional will support our San Juan Capistrano, CA and Chantilly, VA labs. This person can work 100% remote and must be located in the US. • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • ​Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review • ​Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. • ​Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners. QUALIFICATIONS Required Work Experience: 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. At least 1 year of experience working in a life sciences environment. Professional software development or technical engineering experience Preferred Work Experience: Bioinformatics tools such as BWA, SamTools, GATK, Dragen. Skills: Professional software development in a variet of languages including Python, Perl, R, SQL Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

About the Research Investigating and onboarding novel organisms and engineering novel properties into chassis biosystems requires management and analysis of bioinformation. The successful candidate will work across a number of teams to provide bioinformatic support to genetic, proteomic, biochemical, pathway, and systems biology research projects. Purpose: Microbial bioinformatics to include data analysis, predictive and descriptive modeling of genomic, metagenomictranscriptomic, proteomic, and metabolic datasets, relationships and phenomena. • Experience/Skills:* • Advanced degree (PhD or Masters with equivalent experience) in biological or chemical sciences/engineering, with focus on combined theoretical/experimental approaches to understand and engineer microbial consortia. • Must have experience with analysis of multi-omics data driving toward development of whole-system models of microbial consortia. • Experience with microbial engineering, genome-scale metabolic modeling, and experimental design are preferred. • Must have expertise in R and/or Python as well as Linux. • Must be able to obtain a secret clearance. • Able, interested, and motivated to work in a multidisciplinary environment. • Able to work on multiple sub-projects simultaneously. • Excellent English skills in speech and writing. • Overarching Position Description:* The Biotechnology Branch of the US Army Research Laboratory seeks a contract Bioinformatician to join a multidisciplinary team of microbiologists, biological engineers, computational biologists, chemists, and materials scientists performing research on microbial consortia for materials conversion. The contract Bioinformatician will be responsible for processing and analyzing large-volume sequencing, transcriptomic and proteomic data, and will contribute to the design of the –omics experiments that generate these data. In addition, this team member will build, maintain, and refine genome-scale metabolic models describing individual organisms as well as multi-organism consortia, in order to help guide the team's efforts to understand key metabolic features and relationships of natural and designed material-converting microbial consortia. Interacting and developing technical collaborations with external leaders in the field and maintaining a keen awareness of the current literature and developments in the field are also important components of this position. • Specific Tasks and Duties:* Assist with the design of genomic and metagenomic sequencing experiments. • Design and implement novel state-of-the-art analysis pipelines and methods to distill large sequencing and –omics datasets into the most significant and actionable results aligned with the experimental objectives. • Construct and analyze results from single- and multi-organism genome-scale metabolic models to predict or constrain the space of expected products and metabolic relationships between organisms in consortia. • Communicate results in presentations, written reports, open journal publications, and patent applications. • Maintain current awareness of the relevant technical landscape by reading literature and participating in technical conferences or symposia. • Identify potential external collaborators. Develop strategic and mutually beneficial collaborative relationships to advance Army capabilities and accelerate accomplishment of project goals. ARL Advisor: Valerie E. Martindale ARL Advisor Email: valerie.e.martindale.civ@army.mil About HRED The Human Research and Engineering Directorate (HRED) is ARL’s principal center for research and development directed toward optimizing Soldier performance and human-autonomy teaming. Research within HRED focuses on how to improve Soldier performance in a dynamic and changing battlefield. As technology and autonomous systems become an increasingly integral part of Soldier teams, it is critical to determine how these systems can work with and be adapted to the Soldier and their capabilities. Autonomous systems must be able to be integrated into Soldier teams and move from tools to teammates. Critical to this is an understanding of how humans and human teams perform and change in dynamic environments and situations. HRED leverages human-robot interaction, human-informed machine learning, human cognition and adaptive teaming to improve human-autonomy teaming for future Army teams. About ARL-RAP The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. A complete application includes: • Curriculum Vitae or Resume • Three References Forms • An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference. • References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable) • Transcripts • Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for : • Research topic should relate to a specific opportunity at ARL (see Research Areas) • The objective of the research topic should be clear and have a defined outcome • Explain the direction you plan to pursue • Include expected period for completing the study • Include a brief background such as preparation and motivation for the research • References of published efforts may be used to improve the proposal A link to upload the proposal will be provided to the applicant once the advisor has made their selection. Questions about this opportunity? Please email ARLFellowship@orau.org.

Payroll Title: BIOINFORMATICS PROGR 1 Department: MEDICINE/ Endocrinology & Meta Hiring Pay Scale $33.29 - $35.22 / Hour Worksite: Campus Appointment Type: Limited Appointment Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 12 Hour Shifts, Monday-Friday #133146 Bioinformatics Programmer Filing Deadline: Mon 12/2/2024 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. This position is a limited position with the possibility of extension/career conversion. UCSD Layoff from Career Appointment: Apply by 11/18/24. for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 12/2/24. Eligible Special Selection clients should contact their Disability Counselor for assistance. Depending on experience of the selected candidate, this position will be hired at the BIOINFORMATICS PROGR 1 or BIOINFORMATICS PROGR 2 level. This position will work a hybrid schedule which includes a combination of working both onsite at La Jolla and remote. DESCRIPTION The Bioinformatics Programmer will work under the direct supervision of the PI with a multi-disciplinary group to assist in the design, develop, debug, and utilize new state-of-the-art artificial intelligence methods that address areas of clinical need. The lab’s primary bioinformatics focus is on the heterogeneity of patients with diabetes and supporting clinician decision-making. Assists with generating well-documented code and clear project reports. Provides solutions that implement appropriate software security functionality. Under direct supervision, works with end-users to ensure that solutions meet requirements for algorithm usage and interpretation. Assists in managing code-hosting on online repositories and necessary material for end user utility. Collaborates with colleagues, managers, and department researchers to understand complex problems. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. MINIMUM QUALIFICATIONS • Four years of related experience, education/training, OR a Bachelor’s degree in related area. • Basic knowledge of bioinformatics methods and data structures. Experience developing and debugging machine learning algorithms. • Basic knowledge of applications programming and web development. Ability to write and curate code for analyses of patient data. • Basic knowledge of databases. • Basic project management skills. • Basic knowledge of modern biology and applicable field of research. Theoretical knowledge of Biology, Molecular Biology, Structural Biology, and Biochemistry or other related field generally acquired through a Bachelor’s Degree; or an equivalent combination of education and experience. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. Good interpersonal communication skills including tact, diplomacy, and flexibility with students, staff, faculty, and visitors of various cultures and backgrounds. • Ability to communicate technical information in a clear and concise manner. Ability to follow verbal and written instructions and procedures. • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. Ability to maintain confidentiality of matters related to work. • Basic knowledge of application and data security concepts. • Experience in Python coding and management of Github repositories. • Enthusiasm for learning and a genuine interest in scientific research. Willingness and ability to learn new skills, research methods, and scientific principles. • Ability to record scientific data in a well-organized laboratory notebook. Good organizational skills including ability to keep clear and accurate records. • Knowledge of hazard communication and injury and illness Prevention Program. Knowledge of laboratory safety precautions including appropriate clothing and shoes, safe handling of chemical, use of protective items such as gloves and goggles, etc. • Willingness and demonstrated ability to embrace and consistently uphold the principles of community for a collaborative work environment. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $69,500 - $123,500 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $33.29 - $59.15 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20 For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening. Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. a. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: • UC Sexual Violence and Sexual Harassment Policy • UC Anti-Discrimination Policy • Abusive Conduct in the Workplace