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More Bioinformatics Jobs

Field Bioinformatics Specialist

Ann Arbor, MI (+1 other)

The Field Bioinformatics Support Specialist will serve to support customers in North America. You will be responsible for supporting and maintaining the utilization of Bio-Rad's portfolio of single-cell technology through bioinformatics support analyzing data. This is a specialized role within the Digital Biology Group and is fundamental for the growth of new and advanced technology (instruments and applications). This role is highly technical and will serve as a liaison between customers, sales, product marketing & development, and the market development group. As new products are released, the Field Support Specialist team will be instrumental in creating and cultivating market adoption through strategic support efforts. Responsibilities • As the Field Bioinformatics Support Specialist, you will be a critical liaison between Bio-Rad and our customers, providing pre- and post-sale bioinformatic & application support on our single-cell technology portfolio specifically focused on... supporting bioinformatic analysis needs. • You will work cross-functionally with other Field Application Specialists in North America. • You will have support reach into other global geographies as needed. • You will work closely with the Specialist Sales team and deliver trainings, presentations, and technical seminars to individuals and groups with diverse needs and experience levels. • Provide training on and assistance with data analysis, troubleshooting, and optimization for each of these technologies. • Assist customers with experimental design and reporting of results. • Initiate strategic projects with internal Bio-Rad stakeholders to further educate and assist customers. Qualifications • Life Science PhD preferred or MS with commensurate scientific experience and demonstrated commercial success. • Experience with Single-Cell genomic data analysis experience is required. • Experience working with command line applications in a Linux environment. • Basic knowledge of NGS bioinformatics workflows (quality control, read alignment, etc.) • Basic knowledge of common bioinformatics file types (FASTQ, SAM/BAM, BED, etc.) • Basic knowledge of distributed computing systems (HPC, AWS, etc.) • Wet-lab experience with molecular biology techniques is highly desired. • Experience with immunofluorescent imaging techniques is highly desirable. • Ability to communicate complex concepts by fostering engaging communication tailored to audience needs. • Superior knowledge of sample preparation considerations and isolation through data analysis with focus on single-cell applications • Deep understanding of genomics applications related to gene expression and epigenetics. • Ability to travel as needed, <25%. Vaccination Requirement: Due to the higher threat of more infectious and deadly COVID-19 variant strains emerging, Bio-Rad recently announced a new mandatory vaccination policy requiring its US employees to be fully vaccinated against COVID-19 as a condition of employment. Bio-Rad will make reasonable accommodations for valid exemptions based on disability, medical, or religious reasons. With this policy, Bio-Rad joins a growing list of companies that are prioritizing sound science and available facts to best ensure the ongoing safety of its employees and the community. About Bio-Rad: Bio-Rad is a global leader providing a broad array of clinical diagnostics and life science research products. With a team of more than 8,000 employees and a global network of operations serving our customers, we help people live longer, healthier lives. Bio-Rad was founded over six decades ago and has continued to provide the healthcare industry with innovative and useful products that help life science researchers accelerate the discovery process and medical diagnostic labs obtain faster, better results. EEO/AA Employer/Veterans/Disabled/Race/Ethnicity/Gender/Age Agency Non-Solicitation: Bio-Rad does not accept agency resumes, unless the agency has been authorized by a Bio-Rad Recruiting Representative. Please do not submit resumes unless authorized to do so. Bio-Rad will not pay for any fees related to unsolicited resumes

Bioinformatics Research Scientist - Metabolomics and Bioenergetics

Grand Rapids, MI

Bioinformatics Research Scientist - Mass Spectrometry Bioinformatics Van Andel Institute (VAI), a leading independent biomedical research facility, is dedicated to determining the epigenetic, genetic, molecular and cellular origins of cancer, Parkinson’s and other diseases, and translating those findings into effective therapies. The Institute is home to more than 200 scientists and support staff that work in on-site laboratories and in collaborative partnerships that span the globe. In 2018, VAI launched a new research program in Metabolic and Nutritional Programming, with the goal of improving health through prediction, prevention, diagnosis, and treatment. At the center of this program was the establishment of the Metabolomics and Bioenergetics (MetaBio) Core, a state-of-the-art core facility using mass spectrometry to profile metabolic mechanisms of disease. In cooperation with the VAI Bioinformatics and Biostatistics Core, the MetaBio Core is seeking to hire a full-time... Research Scientist, Bioinformatics to support mass-spectrometry based informatics needs. In this role as Research Scientist, Bioinformatics, you will develop and maintain informatics pipelines for metabolomics, lipidomics, and proteomics data, as well as develop novel tools for multi-omic integration. In This Role, Your Primary Duties Will Include • Oversee all phases of mass-spectrometry data analysis, including peak picking and integration, database searches, compound ID assignment, quality control evaluation, and customer report generation. • Maintain and refine existing R-based software for data post-processing and core customer report generation • Design and implement informatics workflows for proteomics data reporting • Work with Core leadership and VAI researchers to develop novel informatics tools as needed The Ideal Candidate Should Possess Experience With The Following • A highly organized multi-tasker who pays attention to detail and values research integrity. • D. in bioinformatics, biostatistics, analytical chemistry or a related field • 5 years of research experience working with mass-spectrometry data, especially metabolomics and/or proteomics, from various LC/MS and GC/MS platforms • At least 3 years of experience with R software development • At least 3 years of experience working in a Linux high-performance computing cluster environment. • At least 3 years of experience with appropriate statistical approaches for mass spectrometry data • At least 3 years of experience in processing and analyzing large datasets (i.e., metabolomics data, proteomics data, NGS data, genome annotation, etc.) is an asset. • Familiarity with metabolomics analysis packages, especially Compound Discover and XCMS. • Familiarity with proteomics MS software including, Proteome discover, Spectronaut, MaxQuant and Skyline. • Familiarity with the fields of cancer biology, neuroscience, and/or immunology is an asset • Ability to work independently yet be a team player. How To Apply If you possess these attributes and enjoy working with motivated and driven people, we would welcome speaking with you and encourage you to apply today! • A cover letter describing your research interests, experience, and how you might contribute to the informatics capabilities of the MetaBio Core. • An up-to-date Curriculum Vitae. • A list of 2-3 individuals who have agreed to act as references along with their contact details. Please contact Eric Miller ( for further information or questions, or if you have any difficulty with the application process. VAI is actively striving to diversify its workforce and strongly encourages qualified individuals from underrepresented groups to apply. Van Andel Institute is an EEO and Affirmative Action Employer As Van Andel Institute is a drug and alcohol-free employer, all prospective new employees undergo a urinalysis/drug test as part of our pre-employment process. Prospective employees will also undergo a background check (criminal history and misconduct, employment, and degree verification). At Van Andel Institute, the health and safety of our people is our number one priority. As a condition of employment at Van Andel Institute, all employees are required to be fully vaccinated for COVID-19. “Full vaccination” is defined as two weeks after both doses of a two-dose vaccine or two weeks after a single-dose vaccine has been administered. About Grand Rapids, MI Van Andel Research Institute is in downtown Grand Rapids, MI which is the second-largest city in Michigan and the largest city in West Michigan. Grand Rapids offers a remarkable combination of cosmopolitan atmosphere and small-town warmth, known for its philanthropic and sustainability-driven community, and is ranked one of "America's Top 100 Places to Live." Located on the banks of the Grand River, Grand Rapids offers all the big-city excitement you would expect from a million-resident metropolis, featuring hundreds of restaurants and nightspots, theaters, museums, sports and concerts. The safe and clean downtown is surrounded by an eclectic mix of walkable neighborhoods. With a medical and life sciences industry boom, strong entrepreneurial activity, dedication to green building and living, and innovative employers, Grand Rapids' diverse economy continues to grow, offering endless career opportunities. Required Skills Required Experience

Bioinformatics Scientist

Cambridge, MA

USA-Data Scientist III (Clinical) 1 Year... Cambridge, MA PR: $71.83 / hr This role requires employees to be fully vaccinated against COVID-19 as a condition of employment, subject to a valid medical or religious accommodation. • **MUST have project-based work in computational application in biology related fields*** Description: We are looking for a Senior Computational Biologist to join the team of in-silico immunologists and lead in silico analytical projects for patient stratification and novel target identification in the fields of Type 2 Immunity and Fibrosis, Immune Checkpoint Biology, Type 1 Diabetes, Autoimmunity and Innate Immunity. The ideal candidate will have extensive experience in the development and application of statistical and computational methods to solve biological problems, excellent oral and written communication skills, and the ability to learn and acquire new techniques and methodologies. The candidate is expected to lead and execute analytical projects and develop analytical strategies for the identification of novel therapeutic targets and the discovery of predictive biomarkers to aid patient stratification and clinical development plans. RESPONSIBILITIES • Work on projects to Identify candidate therapeutic targets and biomarkers for immunology, through integrated analysis of high-throughput molecular data and clinical phenotypes • Develop innovative and creative computational approaches to understand complex immune conditions using multi-dimensional –omics and clinical data • Work in close collaboration with data science and IT functions to develop software for data integration and target analysis • Collaborate with wet-lab and computational scientific teams and champion projects from discovery to early clinical development. • Establish interactions with collaborators within and outside the Immunology and Inflammation Research and Early Development Therapeutic Area. • Prepare publications, research and clinical/regulatory documentation in accordance with company's quality standards. EDUCATION / REQUIREMENTS Essential Qualifications: • Multiple years of project-based work in computational application in biology related fields • Experience with analyzing gene expression data from RNA-sequencing or microarray • Proficiency in analyzing data with R, Matlab or Python • Working knowledge of Linux/HPC and shell scripting • Strong interest in biology and immunological diseases, liaise with scientists from Immunology and Inflammation to help define and address biological questions with computational and analytical approaches • PhD or MS in computational biology, computer science, statistics, or a related quantitative science field • Excellent written and oral communication skills • Excellent interpersonal and team skills Preferred Qualifications: • Proficiency in biostatistics, linear/non-linear regression models, dimensionality reduction, clustering, machine learning approaches including SVMs, and Random Forest • Ability to develop, benchmark and apply predictive algorithms to identify novel biomarkers, dissect relationships and generate hypotheses • Experience with Bayesian analysis and causal inference

Senior Scientist - Bioinformatics, Primary Pharmacology Group

Jupiter Point, CT

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

Bioinformatics Scientist - Primer Design

Carlsbad, CA (+1 other)

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 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

Bioinformatics Scientist - Bilsborough Lab - Inflammatory Bowel...

Los Angeles, CA

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 ( 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

Staff Bioinformatics Scientist

South San Francisco, CA

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

Senior Scientist - Bioinformatics

Cambridge, MA

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

Bioinformatics Engineer

San Mateo, CA

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

Intern - gRED - Oncology Bioinformatics & Biomarker Development

Los Angeles, CA

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

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