Bioinformatics Jobs

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

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

Job Family Scientific Research & Analysis (Digital... Travel Required None Clearance Required Ability to Obtain Public Trust What You Will Do We are currently searching for a Bioinformatics person to provide support services to satisfy the overall operational objectives of the National Institute of Diabetes and Digestive and Kidney Diseases. The primary objective is to provide services and deliverables through bioinformatics support services as part of an existing bioinformatics team. This opportunity is full-time, and it is on site in Bethesda, MD. • Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data. • Provide broad-based programming and analytic support for a wide variety of bioinformatic and research projects. • Install, troubleshoot, and run open-source and commercial scientific software on platforms. • Perform computational analysis of and interpret results. • Provide reports based on analysis of scientific data. • Perform sequencing and alignment of raw data and interpret new data using larger public access datasets. • Provide interpretive analyses of data derived from different experimental platforms to generate biological meaning. • Write custom programs and algorithms to support data analyses and discovery. • Design and execute computational experiments. • Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and troubleshooting. • Make recommendations to investigators about the correct computational tools for testing scientific hypotheses and reaching valid conclusions. • Maintain proper and detailed documentation of the analysis performed and report results at lab meetings. • Prepare scientific reports and progress reports; assemble data to prepare tables, graphs, and slides; conduct scientific and program related information searches and report results. • Utilize and adapt existing bioinformatics techniques to check for trends and patterns in the data. • Write complex queries to multiple databases. • Perform data processing and data analysis with existing computational and statistical methods. • Assist in evaluating and interpreting results for validity and scientific meaning. #SOAR What You Will Need • M.S. and/or Ph.D. degree in bioinformatics, computational biology, computer science, or a related field. • Minimum of two years of experience working on bioinformatics What Would Be Nice To Have • Strong communications skills, both oral and written • Excellent analytical, organizational and time management skills • Strong experience working with Hi-C/ChIP-seq/ATAC-seq and/or multi-omics data sets. • Demonstrated record of productive collaborative interactions with biologists • R • MS Office Suite • Expert knowledge of relevant bioinformatics tools and databases for processing, analysis, and visualization of NextGen sequencing datasets (e.g., snakemake, BWA, STAR, Homer, MACS, HiCExplorer, GATK, IGV, GSEA, ClusterProfiler, etc.) • Python What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits Include • Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Parental Leave • 401(k) Retirement Plan • Group Term Life and Travel Assistance • Voluntary Life and AD&D Insurance • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts • Transit and Parking Commuter Benefits • Short-Term & Long-Term Disability • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Care.com annual membership • Employee Assistance Program • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) • Position may be eligible for a discretionary variable incentive bonus About Guidehouse Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee

The Immunology department at MD Anderson Cancer Center seeks to determine the fundamental cellular and molecular mechanisms of a wide range of processes by which the body recognizes and eliminates pathogens and use these findings to unleash the patient's own immune system against previously treatment-resistant cancers. Treating the immune system rather than the cancer itself, the therapeutics... developed are applicable to many cancers. Immunology KEY FUNCTIONS Data Analysis • Develop algorithms and novel strategies to analyze and visualize large scale multi-omics data from internal and publicly available datasets to enable biomarker identification. • Formulate and guide feasibility analyses of new assays in conjunction with assay development. • Present data analyses to pharmaceutical and MD Anderson collaborators. • Oversee the generation of detailed and well-organized documentation of analysis and methods. • Compose bioinformatics analysis and methods sections for manuscripts and grant applications. • Manage data storage and reporting for the platform and publications as needed. • Explore and implement cutting-edge approaches to analysis of datasets. • Independently search literature to explore new fields of bioinformatics and statistics research to merge with immunology research. • Compose bioinformatics analysis and methods sections for manuscripts and grant applications. • Ensure hardware and software requirements are outlined and met for high throughput data storage, software upgrades, and analysis. • Provide bioinformatics consultation for clinical and biological research projects. • Present data analyses to pharmaceutical and MD Anderson collaborators. • Work closely with clinical researchers and others to provide custom solutions for sequencing, gene expression, proteomics and other data to expedite scientific projects Collaboration/Alliance • Contribute to a highly collaborative work environment toward the research goals of the Immunotherapy Platform, participating in brainstorming, planning, and data sharing sessions. • Collaborate with peer scientists from cross-functional teams to analyze and interpret complex large datasets and communicate findings. Management • Lead and mentor a team of qualified computational scientists; Provide training and education in statistical and bioinformatics analysis of multi-omics datasets (spatial transcriptomics such as CODEX, DSP, single cell sequencing including TCR/BCR sequencing, ATAC-seq, whole exome sequencing) to support target discovery, and translational research. • Recruit, develop and mentor junior scientists, as needed. Education Required: PhD in one of the natural sciences or related field or Medical degree. Experience Required: Seven years experience of relevant research experience in laboratory to include three years of managerial experience. Successful completion of the LEADing Self Accelerate program may substitute for one year of required supervisory or management experience. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information • Requisition ID: 153695 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 112,000 • Midpoint Salary: US Dollar (USD) 140,000 • Maximum Salary : US Dollar (USD) 168,000 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Remote (within Texas only) • Pivotal Position: Yes • Science Jobs: Yes

Company Overview Boost Biomes is using powerful social networks among microbes to provide novel, sustainable solutions to feed people via applications in food and agriculture. Our technology differentiator is the development of a causal understanding of microbial interactions powerful enough to allow the rational construction of designer functional consortia. Our first products seek to reduce the... enormous waste in agricultural products due to crop loss to fungal pests in the field and post-harvest. There is significant need for new biological, organic, safe biopesticides for crops; current chemical products have many challenges, including regulatory burden for growers and safety concerns of consumers. The company has a rich pipeline of additional products under development. Harnessing the power of microbiomes will be imperative to a sustainable future. Boost’s core technology is a proprietary discovery platform that uses high throughput sequencing, enrichment, and advanced informatics to identify microbial products with important commercial roles. This approach is faster and less expensive than traditional approaches and uniquely identifies consortia products which are often more effective than single-microbe products. Boost is uniquely positioned at the leading edge of a fast-expanding field looking to tap into the value offered by understanding and engineering microbiomes. The Role We are looking for a bioinformatician to develop our pipeline infrastructure. With extensive DNA sequence data generated using a proprietary approach, the incumbent will manage our bioinformatic pipeline. A key output will be to automate the generation of interaction maps. We seek a bioinformatician to build out, automate, streamline, and maintain the pipeline. The incumbent will work closely with our data engineer, outsourced software engineers, and colleagues who generate the DNA sequence data in the lab. Future directions will include opportunities to develop and expand our data analysis approaches; optimize the experimental design for improved interaction mapping; and in the longer-term, develop a ML/AI prediction engine using our collected interactome database. Required Skills • Deep understanding of microbiome data and NGS assays, including handling large datasets and analysis, and familiarity with the standard toolchains • Knowledge of microbiology, microbial ecology and/or host/microbial interactions and experience working with large genomics datasets. • Strong experience programming in R and Python, Snakemake is a plus. • Experience in establishing and maintaining a cloud-based computational pipeline, preferably through AWS and Git version control • Command of Unix environment and shell scripting • Familiarity operating Solvuu and Snakemake helpful; experience with rebuilding Snakemake pipelines in NextFlow desirable, as well as transfer from Solvuu to AWS. • Experience running advanced computational biology projects to extract actionable information from biological data. • Knowledge of project management and effective time management • Excellent communication skills required • Ph.D. or Masters in Bioinformatics, Biological Sciences (Ecology, Microbiology), Genetics, Genomics, Computer Science, Mathematics, or related field • Industry experience required

Posting Details Position Information... Fiscal Year 2022-2023 Position Title Bioinformatics Analyst, UB Genomics & Bioinformatics Core Classification Title Programmer/Analyst (Project) Department UB Genomics and Bioinformatics Posting Number R230011 Posting Link https://www.ubjobs.buffalo.edu/postings/39824 Employer Research Foundation Position Type RF Professional Type Full-Time Appointment Term Salary Grade E.79 Posting Detail Information Position Summary The University at Buffalo, Department of UB Genomics and Bioinformatics is seeking candidates for the position of Bioinformatics Analyst. The Bioinformatics Analyst is responsible for supporting the ever-growing computational analysis needs of the Genomics and Bioinformatics Core. The Bioinformatics Analyst works directly with core laboratory staff in an effort to provide optimal next-generation sequencing results. Specific responsibilities include: • Day-to-day processing of the immense data being generated from illumina based next-generation sequencing platforms; • Quality assurance, initial data processing, and storage of data generated; • Maintenance of core computational infrastructure; • Specialized downstream analysis for supporting projects and core initiatives; • Willingness to quickly adopt new technologies and analysis best practices; • Analysis of all types of genomic, epigenomic, and transcriptomic data generated by the core • Development and modification of computational algorithms to facilitate data analysis at UB; participating in manuscripts and grant applications, • Figure generation; • Custom data mining efforts Outstanding Benefits Package Working at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit – all in an effort to support your work-life effectiveness. Visit our benefits website to learn about our benefit packages . About The University at Buffalo The University at Buffalo (UB) #ubuffalo is one of America’s leading public research universities and a flagship of the State University of New York system, recognized for our excellence and our impact. UB is a premier, research-intensive public university dedicated to academic excellence. Our research, creative activity and people positively impact the world. Like the city we call home, UB is distinguished by a culture of resilient optimism, resourceful thinking and pragmatic dreaming that enables us to reach others every day. Visit our website to learn more about the University at Buffalo . As an Equal Opportunity / Affirmative Action employer, the University at Buffalo will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status. Minimum Qualifications The ideal candidate will be collaborative, self-directed and possess the following: • A bachelors degree in Bioinformatics or closely related field with 1-2 years experience and familiarity with common NGS data file formats (FastQ, BAM ). Education and experience equivalencies will be considered. • Knowledge of Illumina based sequencing platforms (NovaSeq, NextSeq500, MiSeq). • Proficiency in linux is essential as all workflows are in a linux cluster environment. • Proficiency in the R coding language with experience using RStudio and Bioconductor. • Hands on experience processing Next-Generation Sequencing data sets from raw data to alignment (Bowtie2/Hisat2 preferred), and quantification (Subread featureCounts). • Previous experience using the DESeq2 analysis package from RNA -Seq. • Background knowledge of wet bench techniques to aid in laboratory trouble shooting. • Outstanding communication and leadership skills, in interacting with both wet-lab and computational biologists. Preferred Qualifications • A Masters degree in Bioinformatics or closely related field. • Experience in transcriptional analysis is strongly preferred. • Python coding skills strongly preferred (virtualenv, managing local packages). • Previous hands-on experience with wet bench assays a plus, but not required. Physical Demands Salary Range $50,000 - $55,000 Work Hours Monday – Friday 37.5 hour work week, exact hours to be discussed Campus Downtown Campus Posting Alerts Special Instructions Summary Is a background check required for this posting? No Background Check Notification Contact Information Contact's Name Jonathan Bard Contact's Title Associate Director of Bioinformatics Contact's Email jbard@buffalo.edu Contact's Phone 716-881-7514 Posting Dates Posted 01/06/2023 Deadline for applicants Open Until Filled Date to be filled 02/01/2023 References Number of references required 3 Reference Cutoff Date Instructions to Applicant For more information, click the "How to Apply" button

Snr Director, Bioinformatics South San Francisco, CA... This is an exciting opportunity to join a growing biotech company that is focused on making personalized and predictive medicine. You would be coming in as their Snr Director of Bioinformatics with the responsibility for leading, mentoring and growing a team. ROLE OVERVIEW - SENIOR DIRECTOR, BIOINFORMATICS • Ownership of the successful delivery of analysis which is critical to the overall business objectives • Working cross functionally with peers leading other key departments within the business, including software engineering, biology, and ML/AI. • Develop, operationalize and grow the infrastructure for statistical and biological analysis and interpretation of all bioinformatics data generated • Lead multi-disciplinary bioinformatics projects, successfully providing actionable insights • Act as a thought leader, be an ambassador of the company and contribute with ideas to positively impact overall company performance SKILLS AND EXPERIENCE • 10+ years' experience successfully managing a team of bioinformaticians • PhD in Bioinformatics or a related field • Excellent knowledge of Python and experience with data processing, statistical analysis and data visualization • Experience with biological experimental techniques • Ability to quickly earn the trust from your team, executive leadership and peers

Posting Details I. DEPARTMENT INFORMATION... Job Description Summary Antibiotic Resistance Action Center at George Washington University Milken Institute School of Public Health is seeking a skilled and collaborative candidate to study microbial genomics in a public health context. The candidate will have the opportunity to: • Analyze large genomic datasets from clinical and epidemiologic studies • Work in a high-performance computing environment • Learn and develop novel approaches for data analysis in public health research. • Develop solutions for large genomic/-omic data analysis. • Apply phylogenetic, comparative genomics, transcriptomics methods to public health associated microbial genomes. • Contribute to the development of a method that models zoonotic host jumps using bioindicators and machine learning methods The successful applicant will be an innovative researcher with a collaborative attitude, and strong self-management skills, as the individual will participate in multiple projects at any given time. They will work under the supervision of a senior bioinformatics engineer. Responsibilities Include • Preparing datasets for analysis, and conducting data analysis using standard and advanced scripting skills under supervision of senior staff. • Creating programming analyses in Python, Perl, C++, Bash script and/or Java • Performing data management (auditing, editing & analysis) and quality control of study databases. • Collaborating in the development of analytical plans for addressing selected research questions. • Documenting any new processes and procedures created in the above tasks. • Collaborating in the design of studies and with medical investigators to implement methods in collaboration with Center faculty. • Participating in project development from beginning to end. Participating as a member of a multi-disciplinary team of programmers and researchers to ensure deliverables are completed efficiently. • Contribute to portions of abstracts, posters, reports and manuscripts for major publications in leading health, medical, bioinformatics and other journals and presentations of results. • Trains users including new employees and students in bioinformatics technique Performs other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Minimum Qualifications Qualified candidates will hold a Bachelor’s degree in an appropriate area of specialization plus 2 years of relevant professional experience. Degree must be conferred by the start date of the position. Preferred Qualifications Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: • Experience in Bioinformatics, Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data. • Ability to apply statistical and machine learning techniques to solve “big data” problems • Experience in analysis of large multi-omics datasets, data mining, or methods for visualizing big-data. • Experience with high-performance computing environment. • Strong analytical and troubleshooting skills and experience or interest in working in a multidisciplinary team setting. • Experience in phylogenetic, comparative genomic analysis, or bacterial genome assembly and annotation. • Strong publication record, especially first-author manuscript(s). Typical Hiring Range $64,040.23 - $93,631.23 II. POSITION INFORMATION Campus Location: Foggy Bottom, Washington, D.C. College/School/Department: Milken Institute School of Public Health (SPH) Family Research and Labs Sub-Family Bioinformatics Stream Individual Contributor Level Level 1 Full-Time/Part-Time: Full-Time Hours Per Week: 40 Hours Work Schedule: Monday - Friday, 8:30am - 5:00pm Will this job require the employee to work on site? Yes Employee Onsite Status Hybrid Telework: Yes Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions To Applicants Employer will not sponsor for employment Visa status Internal Applicants Only? No Posting Number: R001552 Job Open Date: 03/22/2022 Job Close Date If temporary, grant funded or limited term appointment, position funded until: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law