Bioinformatics Jobs

OPPORTUNITY Mammoth is seeking a Scientist I with expertise in bioinformatics to join its Diagnostics team. This role will focus on designing new diagnostic assays using our DETECTR™ technology ... The successful candidate will contribute towards Mammoth’s efforts to develop innovative diagnostic products that enable consumers to access their health information in a timely manner. The Scientist I, Bioinformatics will work closely with both the research and development teams on a variety of projects including primer and gRNA design. COMPANY Mammoth Biosciences is harnessing the diversity of life to power the next generation of CRISPR products. Through the discovery and engineering of novel CRISPR systems, the company is enabling the full potential of its platform to read and write the code of life. Mammoth aims to develop permanent genetic cures through best-in-class in vivo and ex vivo therapies and to democratize disease detection with on-demand diagnostics. Mammoth can provide enhanced diagnostics and genome editing for life science research, healthcare, agriculture, biodefense and more. Based in the San Francisco Bay Area, Mammoth Biosciences is co-founded by CRISPR pioneer and Nobel Laureate Jennifer Doudna and Trevor Martin, Janice Chen, and Lucas Harrington. The firm is backed by top institutional investors including Redmile Group, Foresite Capital, Senator Investment Group, Sixth Street, Decheng, Mayfield, NFX, and 8VC, along with leading individual investors including Brook Byers, Tim Cook, and Jeff Huber. TEAM The Diagnostics team is advancing our CRISPR-based DETECTR® platform to address unmet needs across the continuum of testing. From laboratories to the home, our mission is to democratize diagnostics with CRISPR. It is our policy and intent to provide equal opportunity to all persons without regard to race, color, religion, political affiliation, sex/gender (including gender expression/identity, pregnancy, childbirth and related medical conditions), marital status, registered domestic partner status, sexual orientation, age, ancestry, national origin, veteran status, disability, medical condition, genetic characteristics, and/or any other basis protected by law. This policy covers all facets of employment including, but not limited to: recruitment, selection, placement, promotions, transfers, demotions, terminations, training, and compensation

The Military & Veteran's Health Operation of Leidos is currently looking for a Bioinformatics Engineer to support biological research at the Biological Defense Research Directorate (BDRD) at the Naval Medical Research Center (NMRC) in Frederick, MD. The BDRD within NMRC facilitates biological defense research including not only rapid detection of infectious diseases of global importance and the... enhancement of global disease surveillance for early pathogen detection and response, but also new approaches in medical countermeasures, such as advancing phage therapy to treat multidrug resistant bacterial infections. The Bioinformatics Engineer plays an important role in the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes, metagenomes, transcriptomes and metatranscriptomes in a military medical research setting. The Bioinformatics Engineer collaborates with a team of bioinformatics analysts, computational biologists, and infectious disease experts to manipulate and query high-throughput genetic data to answer complex biological questions in a fast-paced environment. This involves installation and testing of open source bioinformatic software as well as working with a team to create new pipelines, workflows, and standards for customized solutions. Primary Responsibilities The ideal candidate shall: Manipulate and process raw sequencing data from in-house Next Generation Sequencing (NGS) platforms (MiSeq, NextSeq500, NovaSeq6000, PacBio, MinION), microarrays, publicly accessible databases, and/or external collaborators. Assist in microbial genome assemblies and downstream analyses to a complete (polished genome) standard, they will also contribute to other tasks such as analysis of RNAseq data and bioinformatic pipeline development and testing. Perform quality control of sequencing data, genome assembly, gene annotation, etc. Perform well in a fast-paced, fluid environment. Integrate high-throughput data from multiple sequencing platforms. Use a variety of bioinformatic tools and potentially develop new software applications to solve salient problems in the field of genomics. Download, install, and benchmark open-source software packages from a variety of sources (GitHub, SourceForge, etc.). Assist staff scientists in summarizing research data, preparing posters, and/or presenting results via conference presentations, scientific publications, or project reports. Attend internal meetings and teleconferences as well as external meetings with collaborators and stakeholders when deemed appropriate. Contribute to technical reports, presentations and manuscripts for publication. Assist with appropriate training of other personnel. Work is to be performed on a government installation. The normal work week is Monday - Friday 0900 to 1730; regular telework one or more days a week may be possible after an initial acclimation period, dependent on the mission space and supervisor approval. Candidates may need to work evenings and weekends on very rare occasions. 10% travel, including OCONUS, may be required. Basic Qualifications The candidate will be required to acquire, at a minimum, a SECRET classification access level. Preference will be given to a candidate who already has this clearance level. Due to Federal contract requirements, US citizenship is required. Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology. Candidates must have completed a Master's degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area. Candidates must have at least 2-4 years of hands-on experience in Bioinformatics. Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio. Maintain a familiarity with next generation sequencing and current standards in bioinformatics. Have excellent verbal and writing communications skills. Be able to think independently and must have excellent problem-solving skills. Be able to perform under deadlines and in austere environments. Must be able to sit extensive hours and lift 25 lbs. without assistance. Experience in phage genetics and/or pathogen discovery is a plus. Preferred Qualifications Experience in a military medical research laboratory is a plus. Ability to work well independently with little to no supervision. Naval Health East - NHE Pay Range: Pay Range $60,450.00 - $93,000.00 - $125,550.00

Location: LOC_ROBERTS-Roberts Ctr Pediatric Research Req ID: 162076... Shift: Days Employment Status: Regular - Full Time About Us We’re seeking breakthrough makers! Children’s Hospital of Philadelphia was built on the belief that we can change lives. Today, in every role throughout our hospital, research institute and care network, the 22,000 members of our workforce are finding new ways – big and small – to make a difference for the patients and families we serve. If you are ready to challenge yourself, be inspired and grow – no matter what your role – you just may be the kind of breakthrough maker who will thrive at CHOP. Job Summary The Bioinformatics Scientist I position is an entry level position for a non-PhD level professional. The focus of the position is development, maintenance, and evolution of the tools that support management and analysis of genomic, proteomic, and other complex molecular data types. This includes the support of internal bioinformatics software, implementation and modifications of existing algorithms, and execution of routine tasks of limited complexity within the general area of bioinformatics analysis. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. All activities occur with a moderate to high degree of supervision and the individual will rely on a high degree of peer-to-peer mentorship. The Bioinformatics Scientist I is primarily focused on the support of higher level bioinformatics personnel but may have minor direct interaction with collaborators and designees to resolve primarily technical issues and solutions. Job Responsibilities Pre-Analysis (35%): Contributes to the maintenance and development of bioinformatics tool portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provides efficient data management support. • Works with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows. • Maintains pipelines by staying current with evolving algorithms and standards and incorporating into pipeline. • Executes robust development testing for commonly used applications such as data processing pipelines. • Optimizes performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters. • Defines and prioritizes requirements for pipeline development over time to incorporate new technologies and platforms via functional communication with bioinformatics group members and bioinformatics end users. • Identifies appropriate open-source and commercial products that serve needs of pipeline and/or customized analyses of end users. • Implements and maintains commercial and open-source software for common bioinformatics and genomics data analysis. • Implements, updates and maintains locally stored data resources required for various analysis tasks. • Provides ad hoc support and one-on-one and group-based training on key bioinformatics software, features, and workflows. • Provides efficient data management support including file transfers, data formatting and manipulation, and basic integration of data from a variety of experimental and reference resources. • Develops and maintains working relationship with data providers such as sequencing cores within CHOP and infrastructure groups such as information systems. • Continually keeps abreast of evolving data generation platform fundamentals, file-specific information representation, and strategic application of code base to optimize value of data. • Maintains working knowledge of available commercial and openly accessible knowledge bases as they apply to bioinformatics analysis. Job Responsibilities (Continued) Coding (35%): Codes and generally supports both ad hoc, single task applications and larger pipeline applications that may combine multiple 3rd party and internally developed applications for genomics/proteomics/other complex data types and projects. • Implements, maintains, and regularly contributes to formal and bioinformatics group-centralized code management system. • Adopts appropriate forking and other strategies for robust code development. Apply to general bioinformatics group code base. • Adopts best practices for code development consistent with larger bioinformatics group. This includes choice of language based on the type of solution being developed, the likely life cycle and downstream usage of the resulting application, and integration with other systems. • Ensures that all routinely used tools (e.g. those included in shared analysis pipelines) are versioned and managed through a source control system. • Ensures that configuration files that provide parameters to algorithms and analysis software are versioned and managed through a source control system. • Develops and implements automated data-driven testing processes that test reproducibility of results between versions of pipeline software. • Develops and implements automated deployment processes that build and configure systems from source control repositories, eliminating the need to manually modify configuration files. • Regularly documents code, troubleshoot, and provide training when necessary. Data Analysis (10%): Analyzes data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data under supervision from mentors and peers. • Develops robust analysis plans under supervision. • Incorporates QA/QC in analysis workflows. • Delivers analytical endpoints such as feature identification, annotation, characterization, prioritization, etc. • Reports results using, primarily, spreadsheets and, secondarily, abstracted materials such as slides and visuals. Collaboration (10%): Works with both bioinformatics group members and end users/clients to understand specific needs in bioinformatics and end user-specific domains. • Attends group and team meetings and contributes primarily factual information regarding processes and approach. • Defers to mentors and peers in establishing relationships, but works within boundaries to accomplish analytical goals. Academic Output (10%): Contributes to presentations, grants, and manuscripts under supervision by mentors and peers. Required Education and Experience Required Education: Bachelor’s Degree in biological or computational discipline. Preferred Education, Experience & Cert/Lic Preferred Education: Master’s Degree in biological or computational discipline. Preferred Experience: More than 3 years in applied bioinformatics, computational, and genomics/proteomics areas. Additional Technical Requirements • Strong UNIX/LINUX expertise required. • Experience with Python, Perl, Scala, Ruby or other programming languages required. • Experience with Apache Spark strongly preferred. • Experience working under Zeppelin, Jupyter or other notebook environments strongly preferred. • Experience with R strongly preferred. • Experience with genomic data analysis strong preferred. • Experience with pipeline or workflow development frameworks preferred. • Experience with data management preferred. • Familiarity with open source and commercial bioinformatics resources and software preferred. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is preferred. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to work in a team environment. • Eager to learn new things and contribute to scientific discoveries. To carry out its mission, it is of critical importance for the Children’s Hospital of Philadelphia (CHOP) to keep our patients, families and workforce safe and healthy and to support the health of our global community. In keeping with this, CHOP has mandated all workforce members on site at any CHOP location for any portion of their time be vaccinated for COVID-19. This mandate also applies to workforce members performing work for CHOP at non-CHOP locations. The CHOP COVID-19 vaccine mandate is in alignment with applicable local, state and federal mandates. CHOP also requires all workforce members who work in patient care buildings or who provide patient care to receive an annual influenza vaccine. Employees may request exemption consideration for CHOP vaccine requirements for valid religious and medical reasons. Please note start dates may be delayed until candidates are fully immunized or valid exemption requests are reviewed. In addition, candidates other than those in positions with regularly scheduled hours in New Jersey, must attest to not using tobacco products. EEO / VEVRAA Federal Contractor

Division: Biostatistics and Bioinformatics Shared Resource The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida. With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students... patients, members of the community, and people across the globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service. Are you interested in being a key member of a bioinformatics team in a shared resource at a major cancer center? A Senior Research Associate 3 position is available immediately in the Biostatistics and Bioinformatics Shared Resources, Sylvester Comprehensive Cancer Center at the University of Miami. The successful candidate will provide up to date bioinformatics and molecular informatics data analysis and expertise for clinical, laboratory and epidemiological studies. This analysis includes but is not limited to: gene expression analysis for bulk/single-cell transcriptome profiling and/or gene regulatory network building, metagenomics, microRNA target analysis, variant calling, genome or transcriptome assembly from next generation sequencing data, and its visualization, SNP functionality analysis. This position will collaborate with Cancer Center investigators on experimental design and subsequent high dimensional data analysis of gene expression, genomics and/or proteomics studies. RESPONSIBILITIES: 1. Support the Division of Biostatistics of the Shared Resources Core on bioinformatics data analysis for cancer-related research. This includes implementing best-practice bioinformatics pipelines, developing database for genomic studies, preprocessing and analyzing high-throughput data generated from laboratory, publicly available cancer genomic data to support studies initiated by investigators in the Cancer Center. 2. Collaborates with Cancer Center members in planning and analyzing data from laboratory-based and epidemiologic investigations. 3. Collaborates with Cancer Center members in developing cancer-related grant proposals. Carries out corresponding data analysis. 4. Interacts with internal contacts such as principal investigator, research project team, clinicians and data processing and management staff to provide the statistical and bioinformatics input required in the design, conduct and analysis of scientific research studies. 5. Collaborates with Cancer Center members on writing manuscripts or publication, and in preparing abstracts and poster for scientific presentation. 6. Evaluates and implements of existing and emerging bioinformatics tools and applications; tracking project effort and milestones; and troubleshooting. 7. Participate in educational activities of the division and cancer center by preparing and presentations on bioinformatics methods and its application 8. Ensures all research is undertaken according to good research practice. 9. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. Qualifications: Master’s degree in bioinformatics, computational science, statistics, or a related area. Strong programming skills in statistical and computational languages software such as R and python. Effective communication skills are required. Minimum 3 years of relevant experience. Must enjoy working with others, have initiative, and be reliable. Attention to detail and multitasking abilities are critical, with the ability to work both independently and as part of a team. Prefer strong critical thinking and problem-solving skills. Strong ability in collecting, organizing, analyzing, and reporting data. For more information or to apply for this position, please go to: Full Job Posting: https://umiami.wd1.myworkdayjobs.com/en-US/UMCareerStaff/details/Assoc-Scientist–SOM_R100046507-1?q=R100046507 Job Posting Contact: Yuguang Ban, yuguang.ban@med.miami.edu Tagged as: Life Sciences

JOB OVERVIEW : The job’s main responsibility is to collaborate with biologists, bioinformaticians, and clinicians to design, validate, and maintain bioinformatics pipelines and applications... Duties and Responsibilities : • Provide bioinformatics support to R&D by analyzing and interpreting NGS data • Validate new assays and clinical product development • Perform NGS data analysis and QA / QC platform • Provide trouble shooting and improvement for bioinformatics pipeline and applications for clinical tests • Develop new methods and maintain bioinformatics pipelines JOB SPECIFICATIONS Education and Knowledge : • PhD degree in bioinformatics, computational biology, structural biology, biophysics, biology and computer science, or related discipline preferred. • MS degree in bioinformatics, computational biology, structural biology, biophysics, biology and computer science, or related discipline plus at least 5 years industrial experience • Familiar with molecular biology, biological pathways, and genomics Technical Competencies (Skill, Abilities and Capabilities) : • Proficiency in the use of bioinformatics software, packages, and database • Proficiency with Perl, Python, R, bash, C / C++, java, and SQL in Linux / Unix environment • Proficiency in utilizing and development biomolecular modeling and dynamics tools • Strong skills in the application of statistical analytical methods in genetic data analysis • Excellent oral and written communication skills • Ability to work within a team, among cross-departments, and as an independent contributor, requiring minimal supervision Experience : • At least 3 years research and development experiments in the related fields • Experience in using high performance computing and storage systems • Must have industry experience outside of academia. • Experience in Illumina sequencing data and bioinformatics Next Generation Sequencing pipelines Last updated : 2022-04-20

Job Description Would prefer onsite in Cambridge, but can be remote... • Project involves developing multi-omics directed graph networks based on causal inference framework based on multiple data types (e.g., clinical, RNA-seq, epigenetic, proteomic, and/or genetic data). • Must be expert in at least one area of causal inference such as interpretable machine learning or data fusion problem, e.g., to reduce space of plausible causal relationships and how data from multiple sources can be combined to make causal inferences. • Experience with machine learning in the context of causal inference, so that the predictive models are more than just a black box, is strongly desired. • Ideal candidate is experienced in both genomic data, causal inference, and machine learning, but the latter two are the most important. Skills / Qualifications Required • PhD Student / Master's degree In Statistics, Physics, Computer Science or related area with 2-3 years' experience • Causal Inference • Bayesian DAGs • Machine Learning • Data preprocessing for multiple data types • Genomics experience • Programing skills (python javascript c++), experience analyzing real word data and experience utilizing deep neural network

100% Remote Senior NGS Bioinformatics Scientist needed for Series C - $130M Biotechnology company This Jobot Job is hosted by Patrick Murray... Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary $120,000 - $170,000 per year A Bit About Us Founded in 2015, we are a Series C Biotechnology company that has raised over $125M in funding and are becoming a world leader in precision oncology dedicated to transforming cancer care. Our team of scientists, engineers and problem-solvers are dedicated to helping healthcare providers to provide actionable insight to the lives of cancer patients. We are currently looking to add a new Computational Biologist / Bioinformatician to our growing engineering team. This person will be major contributor moving forward. If you feel this position could be a fit, do not hesitate to apply today. Why join us? You will be part of a fast-growing company with a world class, disruptive Oncology product helping saves around the world. You will be joining a team of smart, fun, driven people, in a position with a lot of opportunity to learn and grow. • Competitive Base Salary - $120,000-$160,000 • Work From Home • Comprehensive Benefits Package • Flexible Work Schedules • Accelerated Career Growth • Excellent PTO • Full-Time Position, Stable/Growing Company • Modern Environment • State of the Art Technology Job Details Requirements • B.S. degree in Computer Science, Mathematics, Bioinformatics, Computational Biology, Cancer Biology, or related field • At least 5 years of professional bioinformatics software/pipeline development experience • Expertise in at least one scripting language (preferably Python) • Experience with NGS bioinformatics workflow including read QC, reference mapping, mutation detection, annotation and downstream filtering • Experience with version control software such as Git/GitHub or similar • Knowledge of UNIX systems Preferred But Not Mandatory • Hands-on experience with AWS • Experience with Docker or other containerization technologies • Experience with relational databases • Strong statistical and/or machine learning background • Familiarity with lab information management systems (LIMS) or similar • Experience with software validation in a regulated clinical environment (CAP/CLIA/FDA/NY State) is a plus • Familiarity with modern software development and deployment practices included Automated testing, CI/CD, etc. Interested in hearing more? Easy Apply now by clicking the "Apply" button

Division: Biostatistics and Bioinformatics Shared Resource The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida. With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students... patients, members of the community, and people across the globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service. Are you interested in being a key member of a bioinformatics team in a shared resource at a major cancer center? This Associate Scientist position will support a wide array of bioinformatics research services in the Sylvester Comprehensive Cancer Center (SCCC) Biostatistics and Bioinformatics Shared Resource (BBSR) at the University of Miami. The Associate Scientist (Bioinformatician) will provide up to date bioinformatics and molecular informatics data analysis and expertise for clinical, laboratory and epidemiological studies. This analysis includes but is not limited to: gene expression analysis for transcriptome profiling and/or gene regulatory network building, microRNA target analysis, variant calling, epigenetics data preprocessing and analysis, SNP functionality and pathway analysis, and its visualization. This position will collaborate with Cancer Center investigators on experimental design and subsequent high dimensional data analysis of gene expression, genomics and/or proteomics studies. Duties and Responsibilities: • Individual will be responsible for initiating and maintaining independent research collaborations with SCCC clinicians and basic scientists, and for working collaboratively with members of the division on research or development projects. • Collaborates with Cancer Center members in planning and analyzing data from laboratory-based and epidemiologic investigations. • Collaborates with Cancer Center members in developing cancer-related grant proposals. Carries out and/or supervises corresponding data analysis. • Interacts with internal contacts such as principal investigator, research project team, clinicians and data processing and management staff to provide the statistical input required in the design, conduct and analysis of scientific research studies. • Collaborates with Cancer Center members on writing manuscripts or publication, and in preparing abstracts and poster for scientific presentation. • Stays current with new bioinformatics methodology applicable to cancer studies, and incorporates major useful advances into proactive. • Supports the BBC Biostatistics Division and other members of the core on bioinformatics aspects of Cancer Center research-related to clinical trials, epidemiologic studies, and laboratory-based investigation. • Other duties as assigned. Qualifications: A Ph.D. degree or equivalent experience, with a minimum of 5 years of post-doctoral experience with bioinformatics and molecular informatics data analysis in support of basic, translational, clinical, and/or epidemiological studies. Must enjoy working with others, have initiative, and be reliable. Attention to detail and multitasking abilities are critical, with the ability to work both independently and as part of a team. Proficiency in R/Python programming and excellent English communication skills (both verbal and written) are required. Prefer experience with statistical and computational methodology development with application in genomics studies, with single-cell RNA/DNA sequencing and metagenomics data analysis, with integrative multi-omics data analysis, and spatial genomics data analysis. Prefer strong critical thinking and problem solving skills with proven ability to apply creative approaches to complicated questions. Application Instructions: For more information or to apply for this position, please go to: Full Job Posting: https://umiami.wd1.myworkdayjobs.com/en-US/UMCareerStaff/job/Miami-FL/Associate-Scientist-Bioinformatician-_R100054919-1 Job Posting Contact: Yuguang Ban, yuguang.ban@med.miami.edu

Job Description Would prefer onsite in Cambridge, but can be remote... • Project involves developing multi-omics directed graph networks based on causal inference framework based on multiple data types (e.g., clinical, RNA-seq, epigenetic, proteomic, and/or genetic data). • Must be expert in at least one area of causal inference such as interpretable machine learning or data fusion problem, e.g., to reduce space of plausible causal relationships and how data from multiple sources can be combined to make causal inferences. • Experience with machine learning in the context of causal inference, so that the predictive models are more than just a black box, is strongly desired. • Ideal candidate is experienced in both genomic data, causal inference, and machine learning, but the latter two are the most important. Skills / Qualifications Required • PhD Student / Master's degree In Statistics, Physics, Computer Science or related area with 2-3 years' experience • Causal Inference • Bayesian DAGs • Machine Learning • Data preprocessing for multiple data types • Genomics experience • Programing skills (python javascript c+), experience analyzing real word data and experience utilizing deep neural network

Basepair develops SaaS to manage, analyze and interpret next generation sequencing (NGS) data. Scientists and physicians working in molecular diagnostics, biopharma, assay development at top universities like Harvard, Stanford, NYU, UCSD, etc. use Basepair to make breakthrough medical discoveries and provide better medical care to patients. Founded by a scientist from Harvard Medical School... Basepair is driven by the mission to use technology to improve healthcare. Our team is analytical, fast-paced and informal. We are funded by venture capital and NIH, and we are growing rapidly. We are looking for a technically skilled and detail-oriented scientist to join our bioinformatics team remotely. Your goal is to develop, validate and update best-in-class NGS pipelines. You will communicate with existing and prospective users to answer questions about our software, perform custom analyses, and help guide strategic scientific direction for Basepair. You will be the face of Basepairs bioinformatics expertise, conducting webinars, publishing content, etc. Requirements • Develop, validate and update best-practices pipelines for variant calling, gene expression, epigenetics, single cell RNA-Seq, etc. • Have knowledge of public datasets and consortiums • Perform custom bioinformatics analysis for users • Conduct webinar, QnA, etc. to introduce NGS pipelines to bench scientists • Write white papers and blogs • Represent Basepair at conferences and meetings What you will need for this position • Masters or PhD with 3+ years of experience in bioinformatics, computational biology or related field • 2+ years of experience of building NGS pipelines • 2+ years of Python programming, data visualization, ability to read and modify other peoples source code • Proficiency in Linux, setting up servers, installing packages, bash scripting, etc. • Ability to work independently, prioritize tasks and manage your time productively • Excellent communication skills, including scientific writing Additional Desired Qualifications • Experience with cloud computing (AWS), docker, etc • Proficiency in R • Experience with CWL, WDL • Expertise with front end software development using JavaScript, e.g., React, d3.js, etc. • Familiarity with molecular biology and NGS library preparation techniques • Previous startup and remote work experience is a plus Benefits This is an opportunity to make a significant impact at an early stage startup. Were a small team working closely together to make peoples lives better! Your voice will be heard and you will have the autonomy to set your vision. We strongly encourage ongoing learning to be the best in your position. We provide a competitive salary, meaningful equity, excellent healthcare and other benefits. While half the team works out of our New York office, we are a remote-friendly company. We want to hire the best talent, and people who work at Basepair can live and work from anywhere they want