Bioinformatics Jobs

This Position is Grant Funded School of Medicine... Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Bioinformatician I Summary We are looking for a talented and motivated individual to work with teams of Researchers and Scientists providing bioinformatics expertise, consulting, application development, and support as part of the Duke Predictive Modeling Center (PMC), an NHGRI-funded center with the Impact of Genomic Variation on Function (IGVF) Consortium. Work performed • Contribute to the design, development, adaptation, implementation, and testing of neural networks that are used for predictive modeling of genomic data. (30%) • Train predictive models using machine learning approaches and technologies. This might include not only writing new code but repackaging and documenting existing scripts to make them reusable and easy to maintain. Work will include training models and will require navigating dynamic computing environments. (25%) • Collaborate and consult with researchers individually or in small groups to analyze problems, recommend technology-based solutions, and design computational strategies for a wide range of biological research. Initiate interdisciplinary collaborations with other centers or departments within the Duke PMC and in collaboration with other research teams with the IGVF consortium. (20%) • Recommend new methods, strategies, and improvements to incorporate into existing models. Try latest tools and analysis methods for new non-conventional genomic data (e.g. CRISPR screens), evaluating their fit and gradually incorporating them into existing analysis pipelines. (15%) • Provide training on bioinformatics-related concepts, applications and tools to researchers across the PMC and relevant teams within the IGVF. Design and participate in hands-on workshops to teach scientists how to use predictive models and associated neural networks so that these resources are accessible to other groups. (10%) Skills • Experience working with high throughput sequencing datasets (e.g. RNA-seq, ChIP-seq, ATAC-seq, etc.). • Strong and demonstrable programming skills in Python, Tensorflow, and/or R. • Experience with collaborative development environments, including management of shared repositories (github). • Good communication skills; run and deliver results in a clear and precise way. • Familiarity with High Performance Computing clusters (e.g. SLURM, PBS), including computing environments constructed with CPUs and GPUs. • Familiarity with workflow languages (e.g. CWL, WDL). Education This position requires a B.S. in Bioinformatics or the Biological Sciences with demonstrable computational skills; or a B.S. in Computer Science with a strong interest in Biology/Genomics. M.S. preferred. Experience Strong expertise with programming required. Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department

The Lead Bioinformatics Research Scientist (Clinical Genomics) performs NGS data analysis for pediatric somatic and germline clinical tests, and provides guidance to less experienced team members. Case findings are presented bi-weekly in a group setting before clinical reports are issued by the on-duty molecular pathologist. Clinical genomics testing relies on a strong partnership between the... Departments of Molecular Pathology and Computational Biology; as a primary user of the clinical pipeline, the Lead Bioinformatic Research Scientist works at the intersection of pipeline development and reporting, providing feedback and facilitating improvement requests/user testing in support of ongoing improvement efforts. Job Responsibilities: • Perform validity review and interpretation of genetic sequence variation identified through diagnostic clinical genetic testing; prepare and present findings • Establish/maintain/improve protocols and best practices of clinical tasks • Support activities of the molecular pathology lab relevant to new test and technology development and updates • Lead and participate in the department's developmental projects and interdepartmental team projects; acts as a project manager when required • Mentor junior variant scientists regarding variant calling/interpretation • Recognize and report system performance problems • Follow written standard operating procedures (SOPs), and maintain proficiency and competency standards required for lab accreditation • Perform other duties as assigned to meet the goals and objectives of the department and institution Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, biological sciences, chemistry, bioinformatics, or statistics/computer science (with a background in biological sciences) • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience • For lead bioinformatics scientists, substantial experience in at least one programming or scripting language and at least one statistical package is preferred. Alternative titles (for example, Clinical Variant Scientist) may otherwise be deemed appropriate. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $125,840 - $238,160 per year for the role of Lead-Bioinformatics Research Scientist. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude

The Position The Position... A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Genentech seeks a talented and highly motivated Bioinformatics Scientist to pursue translational research projects in collaboration with our Molecular Oncology and Translational Medicine Departments. The Opportunity You will focus on deep exploration of high dimensional clinical trial datasets, with the goal of translating findings into actionable biological insights that can guide our understanding of drug activity in patient tumors, characterize mechanisms of primary and acquired drug resistance, and identify subsets of patients who may benefit from specific therapeutic interventions. Recently, exciting developments at Genentech and elsewhere have uncovered new avenues for interrupting the aberrant cell cycle pathways driving solid tumors. • You should enjoy working with interdisciplinary teams, carrying out data analysis and integration across various domains (High-throughput Transcriptomic, Genomic, Proteomic, Epigenomic data), and applying best-in-class algorithms — or developing new algorithms — that directly address the motivating biological and clinical questions. • You will be a part of a highly collaborative and dynamic research environment where we aim to translate our understanding of cancer biology to develop personalized therapies and diagnostics to transform clinical practice to benefit patient health. • You will have access to state-of-the-art technologies and pioneering research. • You will have access to clinical data sets and samples. • You will be able to effectively present complex results in a clear and concise manner that is accessible to a diverse audience of quantitative, experimental, and clinical scientists. Who you are • You have a PhD in bioinformatics, biostatistics, computational biology or similar. Alternatively, you have a PhD in molecular biology, immunology, etc. combined with a very strong record of high-throughput data analysis, supported by publication in this area. • You have postdoctoral experience in basic or translational research either in an academic or industry setting with a record of publication in lead positions. • You are comfortable with the statistical principles behind current best practices in clinical and high-throughput molecular data analysis. • You have experience with some of these types of high throughput molecular assays: next-generation sequencing (WES, RNAseq, ATACseq), flow cytometry, etc. • You have strong experience in the use of a high-level programming language such as R or Python for complex data analysis. • You have exceptionally strong communication, data presentation and visualization skills. • You are comfortable working both independently and collaboratively and handling several concurrent, fast-paced projects. • You have a record of publications/preprints as (co-)first author demonstrating analysis of large-scale data to investigate biological problems. Preferred • Experience with single-cell assays (e.g., single-cell RNA-seq, Multiome-seq, or CyTOF) is a significant plus. • You are passionate about the relevant concepts in cancer biology and genetics. You are enthusiastic about learning more. #gCS #tech4lifeDataAnalytics Relocation benefits are available for this posting The expected salary range for this position based on the primary location of California is $146,800 - 272,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status

Are you a forward-thinking and curious Bioinformatician with skills in large scale omic analysis? Do you also want to improve the way we discover and develop medicines? Welcome to join AstraZeneca! We are looking for an experienced bioinformatician to join our Data Science & Bioinformatics team. You will be part of the Translational Science and Experimental Medicine (TSEM) department in the Respiratory and Immunology therapeutic area. As a department we promote an open and collaborative atmosphere, with a culture that is both science-based and patient-focused. Our mission is to understand disease mechanisms at the molecular level, identify the most effective targets and the right patient populations. This role is located at one of our sites in either Gothenburg (Sweden) or Gaithersburg (US). Be encouraged and supported to think creatively in our dynamic environment. Here we are free from fear of failure, free to ask the right questions and make bold decisions. We harness data... science & AI to fast-forward our research. Making sure work born in a lab can make a real difference, every day, impacting patients’ lives across the world. What you will do In this role, you will work in a highly cross-functional and thriving environment together with specialists in sequencing, immunological and respiratory disease, as well as with other data science & bioinformatics experts. For this role we are looking for an outstanding bioinformatician to enable translational science via integration of large-scale omics, clinical data, real world evidence and literature data to deliver precision medicine within our pipeline. You´ll be identifying novel targets, biomarkers and patient sub-groups through innovative data analysis approaches including utilization of clinical cohort omics data sets. You will contribute to the identification of transformational precision medicine propositions to deliver life changing medicines to patients. You will be responsible for planning, performing and interpreting your analysis and communicate results. By applying state-of-the-art analytical methods, you will maximise the knowledge extrapolated from our growing omics data in complex diseases impacting the project progression and future treatment options for patients with unmet medical needs. Depending on your previous experience, your initial career level will be an Associate Principal Scientist or Senior Scientist. Essential for the role • MSc with extensive industry experience (4+ years), or preferably, PhD or equivalent in bioinformatics, data science, statistics, biostatistics, mathematics, or another similar subject area. • Substantial experience and proficiency in large-scale omics data analysis, integration and interpretation is a requirement. Omics include transcriptomics, single cell, spatial transcriptomics, proteomics (Olink, LC/MS), genomics, and other types of next generation sequencing (NGS) such as chromatin state approaches. • Excellent coding skills in Python, R, or similar language appropriate for large scale omics analysis and experience with version control (Git/Bitbucket). • A good understanding of life sciences and how omics data can be utilised to derive biological insight is required. Experience from applying this across different phases of pharmaceutical discovery and development is a preference. • Outstanding communication and collaboration skills, both with experts and non-experts, and with peers as well as stakeholders is expected. Our team is a collaborative group, so the ability to be comfortable working in a goal-oriented way, with a team focused approach is central to be successful in the role. • We believe you also have a high degree of independence and a proactive and delivery focused approach. Desirable for the role • Experience in pharmaceutical R&D and/or Post-doc experience. • Molecular understanding of human diseases, patient stratification and biomarker-based endpoint generation, preferentially in respiratory and immunological disorders. • Understanding of in vitro and in vivo model systems and assessment of translatability. • Track record of applying bioinformatic analysis to drive projects in drug discovery or development in an industrial or academic setting. Familiarity with network analysis. • Broad experience applying machine learning methods such as random forests, clustering, dimensionality reduction in a systems biology or systems medicine context. • Working in a Linux environment, ideally with experience of cluster or cloud computing (e.g. AWS or Azure). • Experience from leading projects with internal groups/external collaborators. • Experience working within cross-functional teams. Why AstraZeneca? At AstraZeneca we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. Work policy When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. What’s next? If you are ready to make a difference - apply today, and we'll make it happen together! We welcome your application (including CV and cover letter), no later than July 24, 2024. If you’re curious to know more about the position, please get in touch with hiring manager Greet De Baets at greet.debaets1@astrazeneca.com. Where can I find out more? Follow AstraZeneca on LinkedIn: https://www.linkedin.com/company/1603/ Follow AstraZeneca on Instagram: https://www.instagram.com/astrazeneca_careers/?hl=en Read more about BioPharmaceuticals R&D: https://www.astrazeneca.com/r-d.html AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements

Requisition Number: RE46211 Department Name: 40502:Institute for Biomedical Informatics... Work Location: Lexington, KY Grade Level: 46 Salary Range: $52,021-85,800/year Type of Position: Staff Required Education: MS Click here for more information about equivalencies https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience: No experience required. Required License/Registration/Certification None. Physical Requirements Sitting and/or standing for long periods of time; performing repetitive motion tasks; effectively communicating with individuals from diverse backgrounds. Shift Monday - Friday, 30 hours a week. Job Summary The Institute for Biomedical Informatics is seeking an Bioinformatics Analyst to join our team. Our ideal candidate must be innovative, detail-oriented, and motivated to solve challenges while also providing superb customer service to both internal and external stakeholders. In this role you will: • Develop computer scripts to automate and customize data processing and statistical analysis • Execute data mining from genomic data repositories and create summary reports • Perform bioinformatics and statistical analysis for other types of high-throughput data This position is currently hybrid. A fully-remote schedule may be an option. We value work-life balance and want you to have the flexibility you need to do both. As a University of Kentucky employee, you will be entitled to amazing health insurance options, employee discounts, and a 200% retirement match! Starting your first day, you will annually accrue 3 weeks of paid vacation, 12 sick days, and 10 holidays. Apply today and see why we were named among the nation's top 10 large employers by Forbes magazine! IEBC (Internal Employee Being Considered). Skills / Knowledge / Abilities Proficient in C, C++, Python, R; Familiar with DESeq2, GATK, Bismark, IPA and other bioinformatics software; and good statistical skills. Does this position have supervisory responsibilities?: No University Community of Inclusion The University of Kentucky is committed to a diverse and inclusive workforce by ensuring all our students, faculty, and staff work in an environment of openness and acceptance. We strive to foster a community where people of all backgrounds, identities, and perspectives can feel secure and welcome. We also value the well-being of each of our employees and are dedicated to creating a healthy place to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors the University of Kentucky is a Tobacco & Drug Free campus. As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen

Description Looking for an opportunity to make an impact... At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. This role is a fully telecommuting role. Candidate MUST: be a US Citizen or US Person who resides in the United States for the current three consecutive years and have the ability to obtain a Public Trust level 5 clearance. If this sounds like a mission you want to be a part of, keep reading! Leidos Health Solutions uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers’ mission in advancing biomedical research and protecting public health. Our team’s focus is ensuring our health customers have the right solutions to keep pace with an ever-evolving public health landscape and prevent the next public health crisis.  To explore and learn more, click here! This position is open to telecommuting. Leidos Health Solutions is seeking a Bioinformatics Team Lead to a lead team of bioinformatics developers, scientists, and trainers in executing high-impact molecular epidemiology and molecular surveillance projects and educating public health scientists in the use of bioinformatics approaches and tools to advance their public health science. The ideal candidate will be responsible for: • Support the Project Manager and collaborate with the Infrastructure Team Lead to deliver high-quality program capabilities on time and within budget • Draw upon your experience to advise and influence the selection and development of fit-for-purpose bioinformatics approaches and tools and adapt them as needed to high-performance and cloud computing environments. • Be the expert in workflow management tools such as Nextflow and other open-source tools. • Develop bioinformatics training content, lead peer reviews of training conduct and deliver advanced and specialized trainings to CDC scientists. • Lead the resolution of bioinformatics helpdesk tickets and coordinate the expansion of our knowledge base and documentation on the user-facing website. • Liaise with high-performance computing infrastructure and team members to coordinate joint efforts, resolve issues that cross-over into other teams, and voice the bioinformatics viewpoint or perspective in your interactions with them. • Facilitate and maintain project plans and artifacts for major activities, team progress reports, set team goals and priorities, communicate needs and progress to Leidos and CDC stakeholders. • Deliver quarterly reports, biweekly progress reports with metrics and author scientific publications in collaboration with CDC researchers. • Mentor team members and interns, identify and provide opportunities for professional development. Monitor team performance and coach team members. • Develop CDC and external collaborations and interface with customer user groups and the Nextflow community to build professional relationships, generate new projects and provide solutions to users. • Lead or support project initiation activities, including schedule, scope, and resources planning. • Drive the development and implementation of innovation roadmap and streamline operation in alignment with customer mission. • Drive continuous service improvement and innovation. • Plan/lead project reviews and briefings, both internal and with the customer. • Oversee performance to specified contract SLAs and direct changes to meet the SLAs as needed • Collaborate with related other contractors to delivery effectively for the customer. • Remain conversant with the industry’s advance bioinformatics research and high performance computing technology and practices. • Establish and maintain regular written and in-person communications with customers, internal leaders and other stakeholders Required Skills and Experience • Master’s degree in Bioinformatics, Genomics, Genetics, or related disciplines from an accredited college or university and 5+ years of direct related work experience • Experience in supervising or leading teams and projects • Experience working in Linux environments and broad experience with open-source bioinformatics tools. • Proficient in coding/scripting in Python, R, Perl, Shell (Bash), or similar language. • Experience working in a high-performance computing and/or cloud computing environment. • Competency writing customs scripts and software to perform bioinformatics analysis using Python, Perl, R and/or Java. • Experience working with Nextflow (preferred), Snakemake, or similar workflow management systems. • Experience in designing and conducting training workshops to the bioinformatics community on latest bioinformatics methods and concepts. • Experience in phylogenetic analysis, metagenomics, and genome assembly methods. • Experience working in a fast paced, agile environment with competing priorities. • Ability to collaborate with customers, project manager, and other team members in forming strategies to improve performance, reliability, and cost effectiveness • Demonstrated excellent written and oral communication skills, including experience in presenting material to Government officials and communicating and coordinating with other Government contractors and stakeholders • Ability to obtain a Public Trust Clearance Desired Skills and Experience • PhD in Bioinformatics, Genomics, Genetics, or related disciplines • Experience in applying machine learning approaches to bioinformatics. • Experience in designing and conducting training workshops to the bioinformatics community on latest bioinformatics methods and concepts. • Experience supporting state and/or local public health agencies • Experience working on a scientific project in CDC, FDA, NIH or other federal agencies. • PMP or equivalent project management credential • 100% telecommute, but Atlanta, GA base preferred hhscdc Original Posting Date: 2024-07-10 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $81,250.00 - $146,875.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. #Remote

• The Senior Bioinformatics Analyst will bring or learn proficiency in current genomics analytical approaches. These include but are not limited to analysis of RNA-seq, ATAC-seq, microRNA expression studies, exome or whole genome sequencing data, and single cell (sc) studies, including scRNA-seq, scATAC-seq, multi-omics, spatial transcriptomics and sequencing studies, including 10X and Mission... Bio platforms. • The Analyst will learn from NYCRD colleagues how to analyse long-read DNA and RNA sequencing data. • They will perform studies involving human genomic data in a way that maximises the security of the data. • They will work with the high-performance computing group at the Albert Einstein College of Medicine to comply with their best practices and security requirements. • They will process incoming data for analysis and outgoing data for sharing as required. • They will actively work with colleagues in the field to learn about and co-develop when needed novel analytical approaches needed for genomic data analyses. • They will assist in the development of reports for researchers as required and guided. • They will report activities to their supervisor informally several times per week, and formally weekly. Qualifications • Bachelor's degree required (advanced degree such as an Master's Degree or a doctoral MD or PhD degree strongly advantageous) • At least 2 years of relevant experience required • Python or R basic competency • SQL basic competency • Scala/Java experience advantageous • Basic strengths in data protection, privacy and security suitable for clinical information. Minimum Salary Range USD $85,500.00/Yr. Maximum Salary Range USD $95,000.00/Yr. About Us The Senior Bioinformatics Analyst will work as part of the Computational Genomics core facility. They will play a crucial role in the analysis and interpretation of complex biological data to support research and development initiatives. Leveraging the Analysts expertise in bioinformatics, computational biology, and statistical analysis, they will contribute to the advancement of scientific understanding and the development of innovative solutions in the fields of genomics, personalized medicine, and bioinformatics. They will interact with computational genomics colleagues from the New York Center for Rare Diseases (NYCRD). The position requires being on-site but with flexibility to build a hybrid model over time. We actively promote career advancement and will encourage the candidate to describe a plan for professional growth that we can foster

Overview Join the HJF Team... HJF is seeking a Bioinformatics Scientist to apply bioinformatics and data mining technologies to support the DPAA Laboratories with algorithm and statistical method development, data analysis and processing, software and web application design and implementation. This position will be part of the Defense POW/MIA Accounting Agency Lab Support Services. The DPAA is the US Department of Defense Agency responsible for the recovery and identification of fallen US service members from WWII to the gulf war. Its mission is to provide the fullest possible accounting of missing personnel to their families and the nation. To accomplish this, the DPAA executes recovery missions worldwide, and recovered material is analyzed in the state-of-the-art DPAA laboratory. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. Responsibilities • Perform and provide support of the following for the DPAA Laboratories, as needed: • Algorithm development • Statistical method development • Data analysis • Data processing • Software design and implementation • Web application design and implementation • Scripting • Maintain continuing education per SOP requirements (e.g. conference attendance, in house training, etc.) • Conduct the following for the CoRA Analytics Application project: • Development of novel statistical methods for integration into the CoRA Analytics Application • Development of novel graph theoretic algorithms for data analysis • Visualization of graph theoretic models of data and graph theoretic algorithm results • Implementation and/or integration of existing DPAA analytics methods into CoRA Analytics • Development of the Web application for CoRA Analytics • Assist with evidence movement duties (internal and external): packaging evidence, labeling evidence containers, and perform evidence transactions in StarLIMS or other programs as required by the lead evidence coordinator • Streamline data processes for the DPAA Laboratories, including: • Data cleaning and processing, and development of scripts to parse DPAA data and automate tasks • Conducting “big picture” identification of data organization at DPAA and integration of data from external sources • Conduct Next Generation Sequence (NGS) analysis as needed for DPAA • Assist and advise the Government Data Analyst Project Lead with project management, including: • Task assignment to contractor personnel – clearly define roles, expectations, and task details • Task management – track progress, request weekly/daily updates as required based on priority of the task • Assist with sync meetings – establish a standard agenda to review weekly and key topics for discussion on daily syncs • Develop, monitor, and improve existing and new DPAA SOPs relating to all aspects of the data analyst team • Respond to questions regarding tasks and current/future assignments • Perform periodic quality checks on work produced by the analysts • At request of project lead, assign long-term projects within data team to improve laboratory efficiencies • Encourage team collaboration while maintaining individually assigned tasks • Predict future laboratory needs and assign continuing education requirements to prepare analysts to succeed once tasked • Communicate deliverables to DPAA lab management and relevant project leads • Conduct one-on-one team meetings as required • Encourage all team members to actively participate in daily/weekly syncs • Establish and enforce standardization of written and verbal communication • Occasionally travel nationally and perhaps internationally (travel anticipated to be approximately 5-10%) • Protects organization’s value by keeping information confidential • Other duties as assigned Qualifications Education and Experience • Master's Degree in Bioinformatics, Data Analysis, or relevant field. • Minimum of 5+ years experience required Required Knowledge, Skills and Abilities • Experience with Algorithm development, Statistical method development, Data analysis, Data processing, Software design and implementation, Web application design and implementation, Scripting. • Possess an extensive knowledge of the theories, principles, and practices within their field of expertise, and a working knowledge of the general issues involving related departments of functional areas. • Demonstrate regular attendance at related bioinformatics conferences. • Possess an established record of peer-reviewed publications with at a minimum of ten (10) publications. • Experience as an oral/poster presenter at a professional organization conference. Physical Capabilities • Lifting: Requires lifting materials up to 10 lbs. Work Environment • This position will take place in a laboratory setting. Some HJF employees are required to be fully vaccinated against COVID-19. Proof of vaccination or an approved religious or medical accommodation will be required. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. ABOUT ABBOTT DIAGNOSTICS ... The key to successful treatment and full recovery is often fast, accurate diagnosis. Abbott’s life-changing tests and diagnostic tools provide insights that enable smarter, faster decisions and transform the way the world is managing health. Our pioneering technology spans the world of healthcare operations — with medical diagnostic instruments, tests, automation and informatics solutions for hospitals, reference labs, blood centers, emergency departments, physician offices and clinics. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: • Career development with an international company where you can grow the career you dream of. • Free medical coverage for employees* via the Health Investment Plan (HIP) PPO • An excellent retirement savings plan with high employer contribution • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. • A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity Our Diagnostics business currently has an opportunity for the role of Senior Bioinformatics Scientist II for our Abbott Park (Waukegan, Illinois) location. The primary function of this position is to manage biologic sequence data as well as collect, generate, and manage descriptive and analytic data related to such bioinformatics data. The Bioinformatics Scientist enables colleagues to access bioinformatics data and continuously improves the quality and accessibility of bioinformatics data. What You’ll Work On • Responsible for implementing and maintaining the effectiveness of the quality system. • Designs and conducts experiments, accomplishes established milestones, organizes and summarizes data, interprets and reports results, draws conclusions. Evaluates data using analytical methodologies to achieve results. Recommends options for future analyses. Presents scientific observations to others. • Expertise and Problem Solving: Leverages experience in biology, computer science, modeling, statistics, analytics and math to derive insights from large biological sequence data sets. Maintains knowledge of sequencing technologies and their applications. Identifies technical alternatives. Anticipates, recognizes and resolves technical problems. • Project Planning: Participates in project planning, updates and process improvements. Implements project plans comprehending resource, budget, facility and regulatory requirements. Translates top-level goals to specific project level goals for the individual team member. Establishes and reviews complex plans for multiple projects or activities. Liaise with Global Information Technology, Asset Management, and Software Quality on behalf of project stakeholders. Plans resource allocation and distribution. • Scientific Leadership: Submits ideas for inventions or publications and participates in application and report generation. • Economic Profitability: Provide direction to project team to meet economic profitability (EP) profile for the project (product cost analysis). • Documentation: Appropriately documents experimental procedures and results according to established guidelines. • Position addresses problems of systems integration, compatibility, and multiple platforms. • Translates business needs into technical systems solutions. EDUCATION AND EXPERIENCE YOU’LL BRING Qualifications: • Associates Degree or higher required; Bachelors Degree with strong focus on Computer Science field preferred. • Minimum 4 years experience. Preferred Qualifications • Masters Degree. • SQL database and BASH (shell) experience preferred. • Cloud computing experience preferred. Learn more about our benefits that add real value to your life to help you live fully: http://www.abbottbenefits.com/pages/candidate.aspx. Follow your career aspirations to Abbott for diverse opportunities with a company that provides growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and Twitter @AbbottNews and @AbbottGlobal. ok.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal. The base pay for this position is $83,000.00 – $166,000.00. In specific locations, the pay range may vary from the range posted

Payroll Title: BIOINFORMATICS PROGR 1 Department: TEMPORARY EMPLOYMENT SERVICES Hiring Pay Scale... $33.52 - $38.31 / hour Worksite: East Campus (La Jolla) Appointment Type: Temp Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Mon - Fri #TP130946 Bioinformatics Engineer Filing Deadline: Fri 7/26/2024 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. DESCRIPTION UC San Diego’s Temporary Employment Services department is pleased to announce a new opportunity for a Bioinformatics Engineer. This role involves performing next-generation sequencing analyses, including but not limited to primary and secondary analysis for RNAseq, scRNAseq, epigenomics, and whole genome sequencing. The incumbent will also assist in performing integrative data analyses, data visualization, downloading external datasets, and maintaining analysis pipelines under the direction of Senior Bioinformatics Scientists & Engineers. Key Responsibilities: • Perform next-generation sequencing analyses (RNAseq, scRNAseq, epigenomics, whole genome sequencing). • Conduct integrative data analyses and data visualization. • Download and manage external datasets. • Maintain and optimize analysis pipelines. • Collaborate with Senior Bioinformatics Scientists & Engineers to ensure accurate and efficient analysis. • Anticipated duration: 12 months • Compensation: $33.52 - $38.31 / hour, including paid holidays and vacation/sick leave. Full-medical insurance also available. • Location: Hybrid/remote, remote work available 1 - 2 days per week. On-site work will be at UC San Diego’s East Campus in La Jolla. • Work schedule: Mon - Fri, 9:00 AM - 5:00 PM. QUALIFICATIONS • Strong proficiency in R, python, and bash scripting. • Working knowledge of common bioinformatics pipelines (analysis of bulk RNAseq, single cell RNAseq data, etc.). • Familiarity working in cloud computing environments. • Excellent communication skills. SPECIAL CONDITIONS Background check required. Pay Transparency Act Annual Full Pay Range: $67,200 - $119,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $32.18 - $57.28 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. 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