Bioinformatics Jobs

ROLE SUMMARY We are seeking a computational biologist to join a team of ~50 scientists within the Primary Pharmacology Group (PPG) at our Groton, CT campus supporting hit identification and lead optimization for the small molecule portfolio in Worldwide Research & Development, through delivery of in vitro plate based pharmacology... Working collaboratively across the Medicine Design organization and with Research Unit project teams, the successful candidate will autonomously provide computational analysis and statistical models to enable data mining for small molecule annotations, drug repurposing, cellular model characterization and mechanism of action elucidation for phenotypic and target-based screening using cell painting and transcriptomics- databases. The role will require scientific domain knowledge in bioinformatics, computational biology and data science. Critical to the role is the ability to rapidly develop, evaluate and implement new computational techniques/methods using machine learning and deep learning approaches including analysis of multiparametric data as well as the integration and interpretation of complex datasets. The successful candidate will be excited by working in teams with talented scientists from other disciplines (e.g. Chemistry, Biology, Statistics). They should therefore possess strong collaborative and written/verbal communication skills and be adept at building partnerships. Key to the role is an ability to work independently and propose creative approaches for complex technical and biological questions. As such, in addition to technical skills, the candidate should demonstrate an eager personal drive, high resiliency and strong leadership skills. ROLE RESPONSIBILITIES • Deliver computational biology support for the Primary Pharmacology Group portfolio, including projects supporting Cardiovascular & Metabolic disease, Inflammation and Immunology, Rare Diseases and Oncology • Develop machine learning tools for chemical and genomic libraries screening campaigns • Deliver transcriptomics and cell painting data analysis methods to generate small molecule mechanism of action hypotheses for phenotypic screening campaign • Analyze phenotypic screening results together with data mining of compound annotations to make recommendation for the design of follow-up experiments • Collaborate with High Content Imaging Scientists to analyze multiparametric datasets to generate cell profiling and phenotypic fingerprints of small molecules for hit prioritization and hypothesis generation • Analysis and integration of high-dimensional multi-omics datasets (proteomics, genomics, transcriptomics ...) to derive testable hypothesis to assist phenotypic signature deconvolution, mechanism of action elucidation, lead compound selection and characterization and cellular model system characterization • Work closely with primary pharmacology, hit discovery, computational science and chemical biology groups to develop tools supporting research strategy (eg novel target types or modalities, DNA-Encoded Library screening, Cell Painting) • Represent Primary Pharmacology Group and Discovery Sciences as a subject matter expert to cross-functional teams within Pfizer WRD and at external conferences. • Opportunities to publish and to recruit summer interns or postdocs when necessary. BASIC QUALIFICATIONS • Ph.D. in bioinformatics, biostatistics, computer science or a related discipline with 0-3 years of industry experience. • Significant experience developing computational pipeline, machine learning and visualization tools • Fluency in one or more programming languages in the Unix environment, Python, SQL and R • Experience with NGS, transcriptomics data and Image based feature extraction would be advantageous • Experience with handling complex data types (proteomics, genomics, metabolomics, imaging, etc.) • Excellent track record of external publications and professional service • Outstanding outreach, teamwork and communication abilities are essential PREFERRED QUALIFICATIONS • Exposure to biological systems and pharmacological concepts in drug discovery • Deep Learning method development PHYSICAL/MENTAL REQUIREMENTS Sitting, standing, lifting, bending, and walking. Ability to work on a computer (while standing or sitting). Ability to perform mathematical calculations and interpret data. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Candidate will be asked to travel to the Pfizer Cambridge, MA site to meet computational science and project team colleagues on a regular basis. Additional Job Information: • Eligible for Relocation Support • Eligible for Employee Referral Bonus Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. Research and Development

Thermo Fisher Scientific Inc. is the world leader in serving science, with annual revenue exceeding $35 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies or increasing productivity in their laboratories, we... are here to support them. Location/Division Specific Information: • Carlsbad, CA or South San Francisco, CA and can be partially remote. • Clinical Next-Generation Sequencing Division How will you make an impact? The candidate will be part of the Bioinformatics R&D team in Clinical Next Generation Sequencing Group and will be responsible for primer design for the development of targeted sequencing panels, pipelines and algorithms for next-generation DNA sequencing. As the leading supplier of life science technology and related applications, we are helping life scientists understand and use the power of genomics to pursue new scientific discoveries and advance clinical research in personalized medicine. What will you do? • Design AmpliSeq assays for custom targeted sequencing panels for external and internal researchers. • Understand the core scientific questions and design assays to address these questions. • Work closely with external customers to understand their requests and provide the best design solution that meets their needs. • Collaborate closely with the molecular biologists, product management, sales, experimental researchers and other members of the Bioinformatics team in new product development, launch and optimization. • Develop, maintain, and operate bioinformatics pipelines for assay design, data mining and analysis. • Improve the designs by iterative analysis of the sequencing data obtained. • Identification, implementation and resourcing of new technologies and methods for optimizing and automating the pipeline for primer design, data analysis, storage, and sharing. How will you get here? Education/Experience: • MS/PhD in Bioinformatics, Computational Biology, Computer Science, Genomics or related field. Three years of relevant working experience are preferred including postdoc experience. • Proficiency in Python/Perl programming and Linux shell scripting. • Experience with AmpliSeq technology or PCR primer design is highly preferred. • The following are also required: hands-on experience with the relevant sequence analysis tools (e.g. Blast, Clustalw, bowtie, etc.); an excellent understanding of genomic databases and their annotations (GenBank, RefSeq, ENSEMBL, dbSNP, UCSC genome browser); a good understanding of the biology behind genotyping, gene expression profiling, comparative genomics and genetic mapping; an appreciation of the use of statistical methods and mathematical models in the interpretation of biological data; experience with next generation sequencing data. Knowledge, Skills, Abilities: • Strong communication and organization skills are needed. • Demonstrated self-motivation, excellent problem solving/troubleshooting ability. • Driven to deliver quality results on time and in a highly ethical and professional manner. Our global team of more than 90,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services and Patheon. For more information, please visit www.thermofisher.com. Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status

Join us in accelerating the pace of research and discovery within our unique IBD3 lab! Cedars-Sinai provides virtually every known gastroenterologic analytical procedure and treatment for digestive diseases and disorders. The Bilsborough Laboratory's Inflammatory Bowel Diseases Drug Discovery and Development (IBD3) unit is composed of research scientists and clinicians with experience in both... the biopharmaceutical industry and clinical research. The IBD3 unit at Cedars-Sinai’s Inflammatory Bowel & Immunobiology Research Institute, under the leadership of Dr. Janine Bilsborough, is seeking an experienced bioinformatics Biomedical Scientist with broad-ranging expertise to engage with principal investigators, research scientists, research nurses, study coordinators, and other data analytics professionals at the interface of data science and biology/medicine. To learn more, please visit: Bilsborough Research Lab | Cedars-Sinai (cedars-sinai.edu) The bioinformatics Biomedical Scientist will work closely with an internationally world-class team of investigators and medical professionals in an integrated science environment dedicated to discovering and developing new treatments, combination therapies, and companion diagnostics for Inflammatory Bowel Disease. Department-Specific Responsibilities: • Provide bioinformatics analysis support for -omic datasets (genomics, transcriptomics, proteomics), particularly, integration of omics-datasets using QTL methods and analysis of transcriptomic datasets from either bulk or single cell seq methodologies. • Perform data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and providing visualization tools, dashboards and browsers. • Provide bioinformatics expertise in the design of experiments and studies, including research proposal development, sample size determination, and plans for interim reviews and final analysis. • Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literature in bioinformatics and computational biology • Learn new technologies and analytical platforms for data analysis and interrogation of biological pathways. • Manage data including loading and querying data from database systems, downloading -omic data from public repositories, and transform data to the necessary formats. • Interact with and support other bioinformatics colleagues and researchers in pursuing excellence in research by the generation of new ideas and concepts, and their dissemination

Bioinformatics Scientist needed for clinical software and diagnostics company! This Jobot Job is hosted by Matt Swaneveld... Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary $150,000 - $200,000 per year A Bit About Us We are a fast-growing software company making a positive impact in our world. Due to growth we are currently in need of a Staff Bioinformatics Scientist with at least 5+ years of professional experience to drive the algorithm development and analysis for our Cell Transplant therapy. You will be working across multiple groups with amazingly smart scientists, statisticians, LIMS engineers, CLIA lab scientists, and clinicians! Why join us? • Competitive base salary plus bonuses • Competitive stock/equity plans + 401K savings plan w/ match • A growing engineering team with strong engineers that enjoy what they do • Comprehensive benefits package with- PTO, 401k, employee stock plan, Insurance, and casual work environment • Accelerated Career Growth • Our products help millions around the world live longer!! Job Details • Ph.D (preferred) degree in bioinformatics, computer science, computational biology, mathematics, or related field • 5+ years’ experience with analysis of genomic NGS data using industry standard bioinformatics tools • Proficiency with a scripting language (Python/R/Java), • Background in computational analysis of genomic data, statistical principles, and modeling with focus on DNA-Seq If the duties below are of interest.. please apply today! Interested in hearing more? Easy Apply now by clicking the "Apply" button

Job Description New Hires based in the US & Puerto Rico will be required to demonstrate that they have been fully vaccinated for Covid-19 or qualify for a medical or religious exemption or accommodation to this vaccination requirement, subject to applicable law... Our team is a diverse collection of data scientists, bioinformaticians, and engineers, all working towards the same goal – enabling and accelerating the next generation of pharmaceutical science. We work closely with laboratory and in silico scientists, proposing and implementing innovative solutions that enable new organizational capabilities. We are seeking a highly motivated bioinformatics scientist to join our global research team at our company. A successful candidate will work with biologists and data analysts in our Research Labs and apply advanced computational methods and data analytics for genomics, target identification, target validation, and biomarker discovery programs. The role will focus on developing and automating high-performance computational pipelines and machine learning applications, and integrating multi-dimensional internal and external data sets to support our drug discovery and translational medicine research. Job tasks: • Develop computational methods to analyze next-generation sequencing datasets • Integrate internal and external databases in omics, pathways, and genetics • Build machine learning pipelines to support identification of novel drug targets and biomarkers • Engage across diverse scientific communities in Oncology, Immunology, Infectious Diseases & Vaccines, Neuroscience, and Cardiovascular teams in our Research Labs • Scale-up bioinformatics pipelines in high performance computing clusters and cloud instances using scientific computing and engineering best practices Education Minimum: • A Ph.D. in computational biology, bioinformatics, or a related field Prerequisites: • Ph.D. plus at least one year of experience in computational biology or bioinformatics • A demonstrated track record of developing and optimizing computational pipelines for the analysis of next-generation sequencing datasets, such as WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, and single-cell applications • Experience developing and evaluating computational methods for common applications, such as alignment, assembly, variant detection, genome enrichment, and phylogenetics • Practical experience in applying and optimizing machine learning tools • Familiarity with common bioinformatics methods and file formats (FASTA, FASTQ, BAM, VCF, etc.) • Proficiency in programming languages (e.g. Python, R, C++) in a Unix/Linux environment • Experience with high-performance Linux clusters and cloud computing • Experience leveraging online resources (software manuals, GitHub, Stack Overflow) to troubleshoot • Excellent interpersonal and team skills • A proven track record of scientific publications • Excellent oral and written communication skills in English Preferred Skills: • Experience with a pipeline scripting language such as Nextflow • Experience with containers (Docker, Singularity) Our Support Functions deliver services and make recommendations about ways to enhance our workplace and the culture of our organization. Our Support Functions include HR, Finance, Information Technology, Legal, Procurement, Administration, Facilities and Security. Who we are … We are known as Merck & Co., Inc., Kenilworth, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for … Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. NOTICE FOR INTERNAL APPLICANTS In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions. If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor. Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. For more information about personal rights under Equal Employment Opportunity, visit: EEOC Poster EEOC GINA Supplement​ OFCCP EEO Supplement Pay Transparency Nondiscrimination We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Search Firm Representatives Please Read Carefully Merck & Co., Inc., Kenilworth, NJ, USA, also known as Merck Sharp & Dohme Corp., Kenilworth, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: No relocation VISA Sponsorship: No Travel Requirements: No Travel Required Flexible Work Arrangements: Telecommuting Shift: Valid Driving License: Hazardous Material(s): Number of Openings: 1 Requisition ID:R162331

You + Helix Helix is a place where innovators and doers gather in order to drive significant progress in population genomics. We have come together to work at the intersection of clinical care, research, and genomics... If you’re excited by the idea of making a meaningful impact and joining a team where we pride ourselves on driving innovation through fostering an environment with an emphasis on empowering one another to grow, Helix might be the place for you! Helix + The World Our end-to-end population genomics platform enables health systems, life sciences companies, and payers to advance genomic research and accelerate the integration of genomic data into routine clinical care. We support all aspects of population genomics from recruitment to translational research and help our partners use genomics to improve health outcomes, increase patient engagement, and lower costs. Leading health systems, including Renown Health, AdventHealth, and Mayo Clinic, use our population genomics platform to power some of the world’s largest and fastest-growing population genomics initiatives. For the COVID-19 public health crisis, Helix has built one of the nation’s largest COVID diagnostic labs and has been on the leading edge of national viral surveillance efforts tracking B.1.1.7 and other viral strains. What Is Special About This Role You will be joining a growing team that builds high-performing, reliable, and scalable bioinformatics software that enables Helix’s mission in advancing population genomics and viral surveillance. You will work on software products for analyzing sequencing data that are critical to our ability to deliver genetic based diagnostics, monitor emerging pathogens, and conduct cutting edge research. You will have the opportunity to take on various types of projects in a collaborative and fast paced environment. As a Bioinformatics Engineer You Will Do • Develop, maintain, and document bioinformatics pipelines in a regulated environment. • Maintain and help architect supporting infrastructure in AWS. • Plan, execute, and automate analytical validations and software verifications. • Analyze and produce data insights to support the development and improvements of bioinformatics algorithms. • Contribute to the creation and maintenance of regulatory documentation as part of the design control process. About You • 3 years of relevant industry or academic experience. • Experience with the development of NGS bioinformatics pipelines in Python • Experience working cross-functionally • Strong communication skills, both oral and written • Open to learning new skills and stepping outside your comfort zone • Problem-focused and able to drive tasks to completion Pluses • Experience with software development in a setting where rigorous SDLC is applied • Experience with developing and deploying services in the AWS cloud computing environment • Familiarity with software development under CLIA/CAP regulations and/or FDA regulations • Experience analyzing large datasets What’s Important To Us • Curiosity — we are all passionate about the possibilities enabled by having access to your own genome • Responsibility — we have an obligation to people and our partners to operate with highly credible research guided by well respected advisors, with clear and effective communication about our products • Agility — flexibility and a desire to be nimble, smart, and effective are important to the Helix culture • Follow-through — we’re building a diverse team with amazing track records of achievement in multidisciplinary environments What Helix Has To Offer You Aside from working alongside brilliant, dedicated, passionate, down-to-earth, curious, warm, and thoughtful people, we also provide great benefits: • Competitive compensation, Comprehensive Health insurance package including employer sponsored HSA • 12 weeks of Maternity or Paternity leave • 401(k) with employer matching and 100% vested on first day • Corporate fitness rate (?) • Comprehensive Well Being benefits • Catered meals • Flexible PTO Helix is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws

The Position Start Date: Summer... Length of Assignment: 3 months Preferred Majors/Disciplines: Computational Biology/Bioinformatics/Cancer Biology Education Level: Any Degree Level. Undergraduates who have completed at least one year of undergraduate coursework at a university, recent grads within two years of last degree, current graduate students (MS or PhD). Department/Team Summary: The Oncology Reverse Translation group is dedicated to mining clinical trial data in order to identify and prioritize novel drug targets. Our extensive high-dimensional molecular characterization of hematological malignancies presents an exciting opportunity to rapidly take clinical insights back into the laboratory. Responsibilities: We seek a highly motivated and independent intern who is interested in understanding and exploring the complex microenvironment of the bone marrow in patients with Multiple Myeloma. Our group is generating a large collection of single cell data from the bone marrow of MM patients, which is accompanied by a wide variety of clinical characteristics. These data, combined with bone marrow samples from academic collaborations, publications, and pilot experiments, can provide an unprecedented level of detail about the bone marrow niche. We are seeking an intern who is interested in analysis of this rich dataset, with a particular focus on delineating the diverse cell types present in MM. The primary goal of this project will be to generate a map of the bone marrow niche, and to correlate prevalence of these subtypes with clinical parameters like response to therapy, adverse events, and pre- vs post-treatment changes, with the goal of identifying cell types associated with resistance to therapy. Qualifications: • Applicants should bring with them a good understanding of concepts in cancer biology, immunology, and/or bioinformatics principles • Proficiency in R programming is greatly preferred, with a particular focus on single cell analysis packages • Background in computational biology, bioinformatics, systems biology or related field • Curiosity and diligence in terms of seeking answers/resources independently. • Familiarity with Linux working environment and high-performance computing

At Sage Bionetworks, we believe that we can learn more by learning from each other. By improving the way scientists collaborate, we help to make science more effective. We partner with researchers, patients, and healthcare innovators to drive collaborative data-driven science to improve health. Making science more open, collaborative, and inclusive ultimately advances biomedicine. Sensors... embedded in phones, smartwatches, fitness trackers and other consumer devices offer us unprecedented opportunities to collect real-world health information. Interpretation of these data requires sophisticated computational analysis by talented data scientists, engineers and statisticians however. Do you have the ability to develop analysis pipelines using statistical and machine learning models? Do you enjoy wrangling data? Are you the type of person who enjoys engaging with scientists and researchers across many disciplines to help solve important problems through the analysis and modeling of health data? Do you want to be an integral part of a team that includes computational biologists, data scientists, research ethicists, software engineers, and data librarians? If so, you could be our next Bioinformatics Analyst in the Digital Health team. We are looking for talented candidates to join our team to work closely and bring their expertise in data processing, statistical analysis, machine learning, and human health to extract meaningful insights from data collected from wearables and smart devices. What you’ll be doing: • Work with senior scientists to use quantitative analysis, signal processing, data mining, and machine learning to analyze large amounts of sensor data from smartphones, wearables, and other devices. • Contributing to the improvement and automation of the data processing and analysis pipelines across different mobile health studies. • Perform QA and QC on data flowing in from smart devices. • Deploy and manage automatic feature engineering pipelines We’d love to hear from you if you: • have Bachelor's or equivalent in quantitative discipline (e.g., statistics, biomedical engineering, biomedical informatics, computer science, applied mathematics, or similar) or another scientific degree with commensurate experience • experience in an analytical role developing both statistical or machine learning models • are passionate about open science and collaboration • are passionate about digital health technologies. • Strong programming skill with proficiency in R, Python, or similar. • use good, reproducible science/programming practices. Additional Skills/Preferences: • Have practical knowledge of digital signal processing and analysis of time-series data. • Have expertise in exploratory and statistical data analysis (such as linear models, multivariate analysis, predictive modeling and stochastic models). • Familiarity with Deep Learning frameworks (Keras, TensorFlow, PyTorch etc). • Experience with the analysis of sensor data from wearables or mobile sensors and clinical data. • Familiarity with software engineering practices and experience developing production software. About Sage Bionetworks Sage Bionetworks is a nonprofit biomedical research and technology development organization that was founded in Seattle in 2009. Our focus is to develop and apply open practices to data-driven research for the advancement of human health. Data-driven research has become an important component of biomedicine, but it’s not always easy to understand how to apply computational approaches appropriately or how to interpret their results. Sage believes open practices can help. Our interdisciplinary team of scientists and engineers work together to provide researchers access to technology tools and scientific approaches to share data, benchmark methods, and explore collective insights, all backed by Sage’s gold-standard governance protocols and commitment to user-centered design. Sage is supported through a portfolio of competitive research grants, commercial partnerships, and philanthropic contributions. Sage embraces diversity, equity and inclusion. We are committed to pay parity and making our salary ranges available to all employees. We invite you to apply and we welcome a conversation. We are based in Seattle, WA, and collaborate broadly throughout the world. In light of recent concerns of Covid-19, all interviews will be conducted remotely. Sage supports a distributed work environment, and generally provides flexibility to our team members to work on- or off-site

PROGRAM DESCRIPTION LHRI - The Laboratory of Human Retrovirology and Immunoinformatics (LHRI), Clinical Services Program, Applied/Developmental Directorate, has studied mechanism multiple drug resistance (MDR) of HIV and HIV pathogenesis by performing basic and clinical research. The mission of the LHRI is to support NIAID ongoing clinical therapy for HIV-infected patients by investigating the... mechanism of immune and viral responses in infected individuals utilizing microbiological, biochemical, and immunological techniques, and bioinformatics analysis. We are seeking a highly motivated bioinformatics analyst, who will work with a team of bioinformatics scientists in Bioinformatics Section in LHRI to provide collaborative bioinformatics support to the investigators in LHRI and other research laboratories at the ARDR, NIAID, NIH. KEY ROLES/RESPONSIBILITIES • Protein structure prediction/modeling based on known sequence • Docking analysis of protein-protein, protein-RNA, protein-DNA, protein-Small molecule interaction • The analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing and other platforms • Keeps up-to-date with analytical methods and software for analyzing high-throughput biomedical data • Contribute to a team effort in designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data • Writes well-documented computer code, conducts code reviews and programming validation as needed • Mining publicly available biological data to generate novel hypotheses or insights • Authors or contributes to manuscripts and/or scientific presentations This is a dual level requisition. This posiiton may be filled at Levell II or III. To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: BASIC QUALIFICATIONS • Possession of Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in informatics, bioinformatics, information systems, computer science, statistics, molecular biology, genetics or closely related field or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency • In addition to the education requirement, a Levell II requires a minimum of two (2) years of progressively responsible experience; Levell III requires a minimum of five (5) years • Strong analytical skills with experience in applyirng and/or developing methods for analyzing various types of high throughput biomedical data (genomics, transcriptomics) from different platforms (next-generation sequencing, microarrays) • Ability to understand and analyze data from complex experimental designs • Competent in using Linux/Unix operating system command line interface • Proficiency in at least two of the following programming languages: Perl, Python, R, Java and C/C++ • Experience in at least three of the following areas: analysis of protein structure, whole genome sequence, Transcriptomics/RNA-Seq, microRNA, LincRNA, exome seq assessment, microarray analysis, GWAS and Data quality • Familiarity with public databases: NCBI, Ensembl and other databases with different specialty • Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Possession of Master's or PhD degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a relevant scientific field. Foreign degrees must be evaluated for U.S. equivalency • Work experience in structural biology • Work experience in HIV or other viruses • Commitment to solving biological problems and communicating these solutions • Ability to multi-task across projects • Management of large genomic data sets including integration with data available from public sources • Knowledge of working in a cluster environment • Record of scientific achievements including journal publications and conference presentations

US – South San Francisco, CA Clinical Next-Generation Sequencing Division... The position is based in South San Francisco, CA and is part of the extended Bioinformatics team within the Clinical Next Generation Sequencing Division. The mission of this business unit is to develop next-generation sequencing based solutions to support research applications in oncology and other important unmet medical needs. How will you make an impact? The successful candidate will be part of a multi-disciplinary team responsible for developing and launching cutting edge next-generation sequencing data (NGS) applications for Ion Torrent Sequencing instruments to advance genomic research in oncology and personalized medicine, pharmacogenomics, metagenomics, Immuno-Oncology and other applications. We're seeking a skilled individual with strong motivation to analyze data, build models, algorithms, and software for analysis of NGS data. The successful candidate will be developing assays for detection of clinically important mutations in cancer (SNVs, indels, CNVs and gene fusions). Specifically, the candidate will develop oncology NGS applications and will prototype, adopt, improve, develop, optimize and validate algorithms and analysis software to analyze DNA/RNA, possibly including cell free DNA (cfDNA) sequencing data for detection of gene fusions, and exon deletions in research samples. If you are a motivated and innovative bioinformatics scientist seeking to advance your career in these fields, we would like to invite you to join our NGS R&D Bioinformatics team in South San Francisco, CA. What will you do? • Your primary responsibility is contributing to development, optimization, and validation of state of the art targeted sequencing assays for multiple applications, especially Oncology and Immuno-Oncology, used in research and clinical research settings worldwide. • You will work on implementing and developing bioinformatics applications of next generation sequencing, including some of the following: detection of known gene fusions, and detection of novel gene fusions, as well as single nucleotide and copy number variation (SNVs and CNVs) • Collaborate and work closely with molecular biologists, product managers, program managers, other bioinformatics colleagues, and software engineers to build high quality products. • Communicate your work to colleagues, share your findings, and work with your team to plan and analyze experiments • Familiarize with production software, and develop tools to facilitate bioinformatics applications How will you get here? • PhD/MS programs in computer science, computational biology, biostatistics, bioinformatics, or similar. • * Familiarity with DNA sequencing technologies, genetics, biology, and/or clinical testing. • Good grasp of statistics and familiarity with Machine Learning concepts is advantageous. • Familiarity with bioinformatics tools, public genomic resources and genome browsers (UCSC, Ensembl, IGV) • Strong programming experience on a UNIX platform in at least one programming language such as Python, Java, or similar (higher preference: Python). • Experience with Matlab or R is desired. Knowledge, Skills, Abilities • Ability to engage in clear written and oral communication. • Excellent problem solver, analytic thinker and quick learner • Familiarity with common bioinformatics tools, high performance computing and understanding of assay design are all highly advantageous. • TFSInternship2021 • TFSEarlyTalent2021