Bioinformatics Jobs

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and... volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. The scientific data and informatics group in Lilly Genetic Medicines is looking for a create and energetic computational scientist to participate in wide range of activities. The scientist will collaborate with a growing team comprised of chemists, biologist, bioinformaticians, geneticists and data scientists aimed at developing and enhancing in-silico capabilities for new modalities. This position presents an opportunity to support various stages of drug development from target identification to clinical candidate selection. Responsibilities: • Develop new computational/data science methodologies to improve the preparation, retrieval, analysis, and summarization of scientific data • Partner with business/research teams to identify/scope and execute data analytics efforts to answer scientific questions. • Maintain a strong communication and be fully engaged with scientists to ensure scientific delivery. • Support ongoing drug discovery projects through data analysis, tool and model development • Support the development & evaluation of new modalities from a target evaluation perspective. Minimal Qualifications: • Minimum PhD. in bioinformatics, chemoinformatics, computer sciences, or related field with minor in a biology/medical field. Additional skills: • Proficient in one or more scripting languages: Python, C++, PHP • Hands on experience in large scale data analysis in cheminformatics, biophysics, proteomics, genomics • Basic knowledge in genomes and transcriptomes. • A solid understanding of data science methodologies and application of these in solving drug discovery problems • A proven track record of development and independent implementation of widely used scientific applications/scripts/data sources • Global understanding of the drug discovery process and the different data resources available • Knowledge in web development is a plus • Excellent oral and written communication skills and the ability to effectively communicate across different cultures in the global scientific community • Ability to prioritize multiple activities and manage ambiguity. Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups. As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law). #WeAreLilly

Careers at DHEC: Work that makes a difference! Pursuing Excellence, Inspiring Innovation, Promoting Teamwork, and Embracing Service... Works closely with the Advanced Molecular Diagnostic Laboratory, and areas of Microbiology, with PHL Quality Division in developing a SOP and data verification procedure. Maintains quality assurance/control of NGS data generated by South Carolina Public Health Laboratory to ensure reproducibility, sensibility, and accuracy of the downstream bioinformatics analyses from sequencing generated data. This includes verification of the overall quality score of sequencing reads, trimming of adaptor sequences, carry-over material, and contamination detection and prevention. Perform bioinformatics analysis of NGS generated data using community-accepted or independently verified bioinformatics tools and develop a of pipelines for high throughput genomic analysis. Uses established guidelines to perform advanced data analytics procedures. Monitors various quality assurance indicators; performs quality control of results and initiates corrective actions; refers unresolved problems to supervisor. Assists in developing laboratory protocols for NGS bioinformatic analysis and maintaining documentation. Develops and implements a training module for Advanced Molecular Diagnostic staff on NGS data analysis to ensure continuity of operations and knowledge retention at the end of the technical assistance assignment. Collaborates with IT Systems Integration Team and Division of Acute Disease Epidemiology (DADE) on the development, implementation and maintenance of a data exchange system between the PHL, DADE, and CDC. State Minimum Requirements: A bachelor's degree in medical technology, microbiology, biochemistry or a closely related field and work experience as a medical technologist in a supervisory, teaching or consulting capacity. Institutions of Higher Learning must be recognized by the Council for Higher Education Accreditation. Agency Additional Requirements: Applicants indicating college credit or degree(s) on the application may upload an unofficial copy of the transcript as an attachment to the application. Please note that the agency will require an official, certified copy of the transcript or diploma prior to hiring. Any applicant with two or more of the qualifications below are encouraged to apply. Masters or doctoral degree in relevant field (e.g., bioinformatics, genetics, or molecular biology) Hands on experience with command-line or GUI bioinformatic analysis, especially of microbial organisms Hands-on experience with NGS workflows Strong technical writing and communication skills as demonstrable with peer-reviewed publication record. EEOC: Applicants needing an accommodation for medical reasons or a sincerely held religious belief may submit a request for an accommodation. A reasonable accommodation may be granted if it doesn't impose an undue hardship or pose a direct threat to the health and safety of others. SC DHEC is an equal employment opportunity/affirmative action employing agency. We are committed to a diverse workforce. SC DHEC does not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability or genetic information. DRIVING RECORD: If this position requires the applicant to possess a valid driver’s license to operate a state vehicle or personal vehicle, any applicant being considered in the final stages of selection for the position will be required to provide a certified copy of a 10-year driving record. The South Carolina Department of Health and Environmental Control offers an exceptional benefits package for FTE positions that includes: Health, Dental, Vision, Long Term Disability, and Life Insurance for Employee, Spouse, and Children 15 days annual (vacation) leave per year 15 days sick leave per year 13 paid holidays. State Retirement Plan and Deferred Compensation Programs Two (2) weeks paid parental leave REMOTE WORK: The option to work partially remote is available after six (6) months of employment if it applies to the position

Bioinformatics Analyst II, Cancer Genomics Research Lab (CGR) Job ID: req3223... Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9615 MedCtrDr Location: 9615 Medical Center Drive, Rockville, MD 20850 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Cancer Genomics Research (CGR) laboratory in Gaithersburg, MD, is a fast-paced, high-throughput organization dedicated to the support of molecular, genetic and epidemiologic studies for investigators at the National Cancer Institute's Division of Cancer Epidemiology & Genetics (DCEG). The Division includes over 70 principal investigators in epidemiology, genetics, and biostatistics who conduct multidisciplinary family- and population-based research to discover the genetic and environmental determinants of cancer, and new approaches to cancer prevention. This includes the design and analysis of high throughput studies using various types of “–omics” technologies such as array- and sequence-based genome-wide association studies, studies of tumor characteristics using integrated genomic data analysis and molecular epidemiologic studies based on novel metabolomic and macrobiotic assays. We are seeking a highly motivated bioinformatics analyst to join the bioinformatics team at the CGR and provide analytical support to DCEG. Working with DCEG investigators, external collaborators, CGR management and staff, the successful incumbent will provide leadership and support to the extensive DCEG analytical efforts, specifically: KEY ROLES/RESPONSIBILITIES • Building, managing, and maintaining pipelines to facilitate high-throughput genomic data analysis • Performing large-scale data analysis and other support using third party software and our in-house pipelines, including (but not limited to) data QC, reference mapping, variant calling, annotation, microbiome and gene function analysis • Contributing to the solutions of -omics analysis pipelines through exploring novel software, benchmarking, comparisons, testing, and troubleshooting • Organizing results into clear presentations and concise summaries of work, in formats useful for scientific interpretation BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a bachelor’s degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, computer science, computational biology or related field. Foreign degrees must be evaluated for U.S. equivalency • In addition to educational requirements, a minimum of two (2) years of related analytical or bioinformatics software development experience • Hands-on experience in processing sequencing, genotyping, expression and other data utilizing bioinformatics tools • The ability to construct practical computational tools for data parsing, quality control, modelling and analysis for large-scale genetic or genomics datasets • Demonstrable shell scripting skills (e.g. bash, awk, sed) • Strong programming skills (e.g., in one or more of Perl, Python, R, C/C++, Java) • Experience managing large datasets and computational tasks, experience working in a Linux environment (especially a computational cluster environment) • Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Familiarity with public genomic tools, databases and utilities • Familiarity with code management systems and protocols such as Git • Experience in the field of molecular and population genetics with a strong publication record. • Expertise in statistical programming and data manipulation (e.g. R, MATLAB) is desired • Experience with Google Cloud, AWS, or managed cloud environments • Experience with containerization (e.g. Singularity, Docker) • Experience with Snakemake or other workflow management systems • Team oriented with demonstrated ability to mentor others as well as self-educate in current bioinformatics techniques and resources • Excellent written and oral communication-ability to communicate clearly and effectively with staff and other groups within CGR and DCEG, and able to interpret data and write scientific reports as well as other written communications. Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

Company Description For over 20 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders... We believe that to continue making progress, we need to work together in new ways. We need your own unique perspective as well as this of our people to make an always greater impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly bring progress forward. Job Description Want to be part of a business with 22% growth last year? Are you looking to make a real impact on how science can make life-changing discoveries, on how we help life scientists achieve the next breakthrough? Does change and transformation excite you? Are you passionate about bringing bioinformatics to life (pun intended)? Then read on! As we scale our Bioinformatics capabilities, we have an exciting opportunity for a senior lead in our Machine Learning and Bioinformatics team in Cambridge (UK) and Boston (US). We work on next-generation solutions to fundamental questions, for example antibody development, cell engineering, etc. At Abcam, we are in a unique position, with strong data and technology offerings, advanced labs and expert teams. We work with internal and external partners, using algorithms and technology we continuously improve in order to scale and accelerate. If you are an enthusiastic and experienced bioinformatician then we look forward to receiving your application and to working with you. In this role you will: • Work in the Machine Learning and Bioinformatics team at the forefront of innovation in life sciences • Propose, design, implement, and develop solutions for difficult and complex Bioinformatics applications that will affect life-changing products and services • Work on challenging projects and end-to-end Bioinformatics processes • Lead projects and engage in long-term strategic planning • Supervise and mentor Bioinformatic developers and analysts • Collaborate internationally with like-minded and skilled colleagues to identify, plan, develop and deliver production-quality, cloud-based solutions • Have the opportunity to grow and develop in a fast-moving company Qualifications Please keep in mind that the following description reflects the background we believe would best fit the role. If you are confident that you can ramp up quickly in some of the areas, we would still like to get to know you and look forward to receiving your application! We would love to hear from people with: • Experience in implementing NGS analysis pipelines and developing bioinformatics approaches for DNA and protein sequence analysis • Experience in antibody or protein structural modelling and antibody structure-function relationship • Experience in immune repertoire sequencing, phage display and other experimental approaches to optimize/engineer properties of antibodies • A solid understanding of data and statistical analysis • An innovative and growth mindset, you are self-motivated and pro-active, a team player with a can-do attitude, who wants to help and be your brilliant self • An ability to rapidly prototype, write and maintain Python code to high quality and performance standards, using Bioinformatics libraries • Experience in leading projects and supervising people • An interest and endurance in tackling diverse and complex data problems • A PhD (or exceptional talent) in Bioinformatics, Computational Biology, Bio-Medical Engineering, or a related field • Five years or more of relevant experience And we are particularly keen if you also have: • Skilled in R and statistical analysis • Experience in software development practices • Experience in operating in an MLOps environment • Familiar with relational databases, data integration and statistical analysis • Attention to detail and highest coding standards • Excellent communication and interpersonal skills • An ability to work in a dynamic multidisciplinary environment, choosing and learning to use new tools as required If you would like to be a part of a collaborative team and a fast-paced, growing business with a focus on Machine Learning and Bioinformatics and the vision to become the most influential company and best-loved brand in life sciences, please do apply. Additional Information We know that when it comes to benefits, no one size fits all. Flexibility and choice matter which is why, in addition to market competitive salaries, we offer you a flexible benefits package which is tailored to your unique needs and support your financial, physical and emotional wellbeing. This includes our award-winning share scheme, 18 weeks fully paid maternity leave, 6 weeks fully paid paternity leave as well as highly flexible working and much more. Besides, your development will be integral to your experience here. You will grow alongside other talented minds, in ways you may often find unexpected. When people come together, incredible things happen. Here you’ll work in a safe environment where you can be who you truly are. We’ll champion and celebrate your uniqueness throughout your journey with us. This is how we excel at partnering with the scientific community no matter the challenge, ultimately helping solve the world’s most critical diseases. Find out more about Diversity & Inclusion at Abcam. 743999879710633

Why Mayo Clinic Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and... inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career! Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary. Position description Under general supervision and guidance: - The analyst/programmer is responsible for the support of moderately complex software-based systems in the supported areas. - Contributes to the design, development, implementation, and maintenance of custom software, or the installation and maintenance of purchased software systems. - Produces documentation such as systems requirements, designs, and plans as requested by the work unit leadership. - Work will be reviewed for quality, timeliness, and adequacy at predetermined milestones. Qualifications Working towards a PhD in Computer Science or related Informatics field with a GPA of 3.0 or greater. Additional qualifications Previous work experience or course work in artificial intelligence and machine learning and use of software packages for data management and statistical analysis is preferred. Experience in coding with Python, R, Java, C++ or other programming languages, along with Linux/UNIX operating systems preferred. Exemption status Non-exempt Compensation Detail This position has a predetermined rate of $24.42 (min) to $30.00 (max) per hour; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits eligible Yes Schedule Full Time Hours / Pay period 80 Schedule details Monday-Friday Weekend schedule N/A International Assignment No Site description Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life. Recruiter Stephanie Baird EOE As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available

About Us Our mission is to cure cancer through high performance, accessible early cancer detection. That means saving lives... Delfi Diagnostics is a Johns Hopkins spinoff focused on the non-invasive detection of cancer at earlier stages, when it is most curable. DELFI uses artificial intelligence and whole genome sequencing to detect unique patterns of DNA fragmentation in the blood of patients with cancer. These analyses are performed through simultaneous examination of millions of DNA sequences using machine learning to identify tumor-specific abnormalities. In our passionate pursuit to radically improve health outcomes, we serve humanity when we: Lead with Science, Anchor in Pragmatism: We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction. Build With & For All: We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class Put We over I: We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with us--win. We show up with empathy, humility, and integrity at every step of the journey. In this position, you will have a key role in the Genomic Sciences team and work cross functionally in a research setting to apply your knowledge of biology and bioinformatics to enhance the DELFI cfDNA fragmentation assay. You will collaborate on study design and analyze and interpret genomic data to improve performance of the Delfi assay and develop new applications for this novel approach in oncology. What You'll Do • You will contribute to the conception and design of genomic studies and perform end-to-end analyses that include data gathering, processing, analysis, interpretation and presentation of results • You will develop new bioinformatics processes and use computational tools to extract actionable information from sequencing data • You will analyze complex genomic datasets to generate biological insights in the context of cancer detection and progression • You will identify and evaluate new opportunities for applications of the Delfi cfDNA fragmentation platform • You will review and analyze relevant literature in cancer biology and molecular diagnostics and effectively communicate results of published data to the broader research team • You will work closely with team members from Data Science and Translational Science to generate and analyze data to enable the company’s goals. What You'll Have Accomplished 12 Months From Now • You will have identified novel features and applications of the DELFI assay and assessed their impact on performance in collaboration with other members of the Genomic Science, Translational research, Bioinformatics and Data Science teams • You will have contributed to the design and execution of fundamental studies to support company's products on their concept phase • You will have used your experience in Cancer Biology and Bioinformatics to drive the development of novel analysis approaches • You will have acquired new expertise related to chromatin biology and bioinformatic approaches benefiting from mutual knowledge exchange with your colleagues • You will be a respected member of the research team having collaboratively contributed to the design, analysis and interpretation of wet and dry lab studies Required What you'll bring to DELFI • MS in Bioinformatics or related field and 3 years of experience OR PhD in Cancer Biology, Genetics, Genomics or similar field with experience in Bioinformatics • Expertise in genomics (preferably cancer genomics) and analyzing large datasets • Proficiency in Python • Ability to perform exploratory data analyses and visualization using R • Ability to effectively communicate results to a range of audiences Preferred • Expertise in circulating tumor DNA (ctDNA) • Familiarity with chromatin biology and epigenetics • Familiarity with public genomic databases such as TCGA and gnomAD • Experience with AWS An equal opportunity employer We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Description Essential Job Duties and Responsibilities... • Performs all work in compliance with company quality procedures and standards. • Makes detailed observations, analyzes data, and interprets results. • Prepares technical protocols and reports, including quantitative analyses and executive summaries. • Maintains familiarity with current scientific literature. • Investigates, develops, and implements new methods and technologies to advance projects. • May participate in scientific conferences and contribute to scientific journals. • Uses professional concepts in accordance with company objectives to solve complex problems in creative and effective ways. • May act as principal investigator in conducting own experiments. • Ensures that laboratory notebooks for assigned projects/experiments are maintained in accordance with the company’s quality system. • Collaborates with Postmarket Surveillance Department to: • Assist in customer investigations regarding assay performance of all BioFire panels as needed. • Perform bioinformatic assessments of proprietary BioFire PCR assays. • Report the results of bioinformatics assessments to R&D development teams and additional departments, e.g., Postmarket Surveillance, Regulatory, and Analytical IVD Device Validation. • Design and perform experiments to assess the impact of results obtained from bioinformatic assessments. • Analyze and report experimental results. • Relay results to development teams about ongoing investigations to help with future panel refreshes and assay designs. • Collaborates with Postmarket Surveillance to meet company deadlines and goals. • Performs other duties as assigned. Qualifications Training and Education A Bachelor of Science in a scientific discipline is required. A master’s degree in bioinformatics or related field is preferred. Experience Five years of experience in the field or related area, or a master’s degree in bioinformatics plus 2 years’ work experience. Knowledge, Skills, and Abilities • Working knowledge of molecular biology techniques including PCR • Proficiency with Microsoft Office Suite • Working knowledge of Sequence database(s) • Demonstrated proficiency in project planning, execution, and documentation. Physical Requirements Must be able to lift 50 lbs

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human... condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. NYU Langone Health Medical Center, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking highly motivated, enthusiastic individual to join the Imielinski Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research conducted in the Imielinski Lab and Perlmutter Cancer Center. Job Responsibilities: Assist in preparing concise presentations of computational results. Work with the Perlmutter Cancer Center cancer genomics team to integrate different types of genomics data. Adapt genomic data analysis pipelines in a rapidly evolving research environment. Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. Assist in the design, implementation, and execution standard pipelines for routine genomics data analyses. Perform robust data quality control and validation. Work closely with bench scientists to understand and help accomplish their research goals. Other duties as assigned. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines Experience in Unix/Linux systems including HPC environments Scripting languages: Python or Perl Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English Preferred Qualifications: Experience in Unix/Linux systems including HPC environments. Experience with genome analysis and/or data science using R / Bioconductor (preferred), Python, Julia, Jupyter. Experience with common genomics tools (bwa, samtools, bcftools, bedtools, R/Bioconductor, Genomic Ranges) and file formats (bam, vcf, bigwig, bed, bedpe, etc.). Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online. If you wish to view NYU Grossman School of Medicine's EEO policies, please click here. Please click here to view the Federal "EEO is the law" poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. NYU Langone Health provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $61,475.67 - $83,200.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

Principal Investigator, Simon Gayther, PhD is looking for a Postdoctoral Scientist to join the team! Dr. Gayther's research program is focused largely on understanding the underlying causes of ovarian cancer initiation and development. Dr. Gayther has a long, established track record in defining the heritable component of ovarian cancer, and the functional role of both common and rare risk... variants and their target susceptibility genes in the early-stage disease pathogenesis. The overall approach of this research program is to integrate genomics and epigenomics analyses to identify molecular markers associated with disease, with cell biology modeling studies to validate the role of novel molecular markers in disease biology. The goal is to translate the findings from these studies into the clinical arena to improve risk prediction and prevention strategies, early-stage screening and disease diagnosis and targeted therapeutics for patients. For more information, please visit Gayther Research Lab | Cedars-Sinai. Are you ready to be a part of ground breaking research? Working independently but in close cooperation and in consultation with Dr. Gayther and other Research Scientists, the Postdoctoral Scientist will perform routine and complex laboratory procedures throughout the training period. Primary Duties and Responsibilities: • May assist in the preparation of grant proposals, but is not responsible for generating grant funds. • May participate in publications and presentations as author or co-author. • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. • May develop, adapt, and implement new research techniques and protocols. • Analyzes interpret, summarizes, and compiles data. • Operates and maintains equipment and instruments. • May observe MD-patient or MD-human research subject interactions as it pertains directly to research being performed. Education: • A Doctorate (Ph.D.) in the area directly related to the field of research specialization is required. Experience and Skills: • Acquires thorough technical and theoretical knowledge of research projects and objectives during one to five (1-5) year post-doctoral appointment. • Independently works on research projects designed by a mentor (typically the PI) within an area of specialization. • Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, analysis, and operation. • Knowledge of safety standards and maintenance of specialized equipment. Working Title: Postdoctoral Scientist - Gayther Lab - Bioinformatics and Functional Genomics Department: BMS - Bioinfo & Func Genomics Business Entity: Academic / Research Job Category: Academic/Research Job Specialty: Postdoctoral Position Type: Full-time Shift Length: 8 hour shift Shift Type: Day

The Genomics Research Center (GRC) is a center of excellence for genetics and genomics that supports both Discovery and Development. The GRC plays an integral role towards our goal of developing world class genetics and genomics research, focusing on finding the right targets and helping us better understand not only human disease biology but also the behavior of and response to our drugs in... clinical trials. Within the GRC, the Department of Bioinformatics and Computational Biology is responsible for genomics data analysis and providing analytical insight for both internal and external projects. We are seeking a highly motivated and experienced bioinformatics scientist to lead a new area of focus for the Specialty Bioinformatics team studying various aspects of rAAV vectors for gene therapy. The candidate will work collaboratively with the rAAV Research and Production team and our therapeutic area teams to advance AbbVie’s rAAV pipeline. The ideal candidate will have advanced expertise in bioinformatics including methods development and testing related to AAV, viral, bacterial, or other genome assembly and characterization. Experience in analyzing both short read (Illumina) and long read (454/PacBio/Nanopore) sequencing technologies applied to virus and viral vector characterization, viral integration, and/or metagenomics will be a plus. The successful candidate must have strong Linux shell coding experience, be comfortable in using R and/or python to do data analysis and methods development and should be comfortable working on a shared high performance computing cluster. As this position will support a new area of focus in bioinformatics, ability to quickly learn new technologies as well as adapt and expand on state-of-the-art computational approaches is essential. Equally important is a commitment to rigorous and careful code development, principled statistical analysis, and measured delivery of results and conclusions. Key Responsibilities Include: • Develop methods and establish best practices for the characterization of the DNA content of viral capsids, identifying genomic integration sites, and characterizing host cell mRNA expression profiles. • Analyze public and internal human genomics datasets to identify tissue specific promoters, enhancers, and polyadenylation signals as candidates for use in rAAV therapy. • Work closely with scientific teams to design experiments, analyze data and communicate results to an audience with a wide range of backgrounds and expertise • Work with bioinformatics engineers to optimize newly developed software into reproducible workflows executable by other bioinformaticians • Maintain accurate documentation of analysis and develop analytical pipelines. • Collaborate with cross functional teams to meet project goals, and advance novel vectors into pipeline. • Present science, plans and data updates to project teams and senior leadership. • Author technical reports and protocols. • Understand and enforce company culture, teamwork, safety. Qualifications • MS or PhD in Bioinformatics, Genetics, Computational Biology, Biostatistics, Statistics, or closely related field • Minimum 10+ (MS), or 4+ (PhD) years of relevant experience. • Experience in viral vector bioinformatics/genomics, metagenomics, and short and long read sequencing analysis (454/Illumina/PacBio/Nanopore) is a plus • Demonstrated ability to develop and execute custom computational analysis plans leveraging novel algorithms and relevant databases. • Ability to summarize analytical results and derive biological/clinical interpretation • Fluency in one or more or relevant programming languages, such as R, Python, Java, or C++ • Track record of completing deliverables within specified timelines. • Excellent interpersonal and communication skills. Strong scientific curiosity with a passion for problem-solving and optimization. • Self-motivated with excellent attention to detail and ability to multi-task. Strong organizational, planning and trouble-shooting skills. • Ability to work effectively in a highly collaborative and dynamic environment. Key Leadership Competencies: • Builds strong relationships with peers and cross-functional team members • Learns quickly, grasps the 'essence' and can change the course quickly when needed • Raises the bar and is never satisfied with the status quo • Embraces a learning environment, open to suggestions and experimentation for continuous improvement At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity and affirmative action employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic. If you would like to view a copy of the company’s affirmative action plan or policy statement, please email CorpJat_ABV@abbvie.com