• Design statistical and machine-learning models to analyze large-scale collections of sequence data
• Bring new insight into biological problems by applying new informatic algorithms
• Integrate transcriptomics data with different data (e.g. proteomics, metabolomics)
• Ensure awareness of recent success within bioinformatics and state-of-the-art machine learning
• Automate design and analysis pipelines for target screening and sequencing analysis
• Prepare and present research in top-leading journals or conferences
• Prepare and present written and oral reports/dashboards to scientists/non-scientists
• Perform statistical analyses of high throughput genomics data by using and/or adapting existing computational pipelines and algorithms.
• Learn to write code to process genomic data sets, generate reports, and present the results to collaborators.
• Work from standard analysis pipelines and learn to modify code to fit individual projects.
• Interact closely with CoLab members and collaborate with other bioinformaticians doing similar work

Skills: Statistical Modeling, Machine Learning, Bioinformatics Algorithms, Data Integration, Bioinformatics Advancements, Pipeline Automation, Research Presentation, Report Preparation

• Use existing bioinformatics tools to analyze the sequence data generated in pipelines.
• Perform quality analysis of the generated sequencing data and develop solutions to enhance future performance
• Perform different types of data analysis relating to the genomics-based approaches utilized by the lab independently.
• Maintaining and troubleshooting existing bioinformatics pipelines
• Develop new bioinformatics pipelines to support new molecular assays
• Work with lab users to analyze biology data and address research needs using bioinformatics techniques and tools
• Present results of the analyses to the team members, and participate in research and development activities
• Complete all data analysis on assigned client programs, including experiment definition and execution of the opportunities of each program.
• Understand and operationalize business requirements into analysis tasks without technical supervision.
• Responsible for estimating timelines and communicating program status.

Skills: Bioinformatics Tool, Quality Analysis, Solution Development, Genomics, Pipeline Maintenance, Troubleshooting, Pipeline Development, Data Analysis

• Assist with the design, analysis, and interpretation of NGS-based experiments to characterize the activity of compounds in cells and in vivo.
• Integrate data from multiple internal and external sources to identify and select new targets, discover biomarkers, and define patient populations.
• Identify new opportunities to unlock value from experimental data and accelerate the company’s drug discovery efforts.
• Actively participate in R&D meetings, present results to colleagues, and collaborate on publications.
• Design, implement, assess, and optimize sophisticated pipelines and algorithms 
• Process and visualize new types of large-scale, high-dimension NGS data, and draw actionable biological insights therefrom
• Advance complex R&D roadmaps via fast-turnaround prototyping of NGS pipelines for exploratory analyses
• Help establish the intellectual foundations and computational infrastructure for complex global technology projects
• Work with a broader, integrated team of laboratory and data scientists developing major new genomics tech
• Communicate internally and with external partners via oral updates, written reports, and technical meetings

Skills: NGS-Based Experiment, Data Integration, Value Extraction, Collaboration, Pipeline, Data Processing, NGS Pipelines, Collaboration

• Primary upstream manipulation and processing of raw Next Generation Sequencing data for entry into downstream analytical pipelines.
• Develop sophisticated models and innovative analyses to extract meaningful and actionable information from the integration of various -omics
• Design computing strategy in a High-Performance Computing (HPC) environment for algorithm development and optimization
• Compute infrastructure for processing NGS data (such as local vs. Amazon cloud, etc.).
• Interfacing and working with internal groups to design appropriate specifications.
• Contributes research findings to abstracts and publications and presents at conferences.
• Lead the development of novel software tools and pipelines to speed new molecular assay development
• Support the R&D team with the development of scripts to streamline calculations and project management.
• Lead the in silico design and characterization of new molecular assays for infectious disease based on qPCR and related technologies
• Propose new tools for development based on market trend analysis, new technology, and advances in molecular biology and genomics data analysis.

Skills: NGS Data Manipulation, Computational Modeling, High-Performance Computing, Compute Infrastructure, Collaboration, Communication, Software Development, Scripting

• Generate and work with whole-genome sequence data sourced from a variety of sequencing platforms
• Provide leading-edge expertise and support in the area of bioinformatics and NGS data interpretation for the delivery of projects.
• Engage and interact confidently with a broad range of colleagues and stakeholders across the business.
• Seeking out information relevant to the work at hand and resolving issues and problems
• Lead the design, planning, and delivery of work to meet deadlines.
• Lead teams and work as part of a cross-functional team working with colleagues and stakeholders globally.
• Manage the data analytic systems for genomic analyses.
• Perform complex data analytics and oversee the team to deliver analytics activities.
• Ensure compliance with data and security protocols.
• Expand and upgrade capability to remain fit for purpose and cutting edge.
• Be part of key New Sciences and cross-R&D teams relating to big data and modeling.
• Interface with key external partners for the advancement of data science capabilities/methodologies.

Skills: Whole-Genome Sequencing, Bioinformatics, Communication, Problem-Solving, Project Management, Leadership, Data Management, Analytics

• Follow genetics/bioinformatics literature and attend appropriate conferences 
• Maintain awareness of desirable and state-of-the-art methods for processing bioinformatic data. 
• Guide other teams on important trends and opportunities.
• Develop and refine strategy for high-performance and scientist-centered data management tools
• Develop and maintain interfaces between the production backend computing environment and research computing environment
• Install, test, and deploy external tools to support bioinformatics tasks. 
• Design and implement in-house tools when third-party tools are insufficient.
• Learn existing code and processes for building datasets and performing analyses. 
• Become adept at running these, and help develop sanity checks for the results.

Skills: Research, Bioinformatics, Leadership, Strategic Planning, Technical Proficiency, Problem-solving, Adaptability, Collaboration

• Work on a cross-functional software development team to build and maintain production-quality Python packages
• Develop and maintain databases and data models that accelerate the ease of using the Onyx platform
• Identify, import, and curate coding and non-coding genome annotation databases
• Perform genome assembly and annotation and import these results into the databases
• Analyze mixed types of genomic data to gain useful insights about assemblies and annotation
• Developing tools and workflows for metagenome mining for genes and biological pathways of interest
• Establishing/maintaining pipelines for evaluation of microbial taxonomic and functional diversity in metagenome samples
• Executing genome and metagenome assembly, functional annotation, and characterization
• Interpreting outputs from computational tools and workflows for biological insights and relevance to the project at hand
• Contributing to product discovery ideation that leverages metagenomics

Skills: Python, Database Management, Genome Annotation, Genome Assembly, Genomic Data Analysis, Metagenome Mining, Pipeline Development, Biological Interpretation

• Help build a platform that can elucidate oncogenic transcriptional networks and mechanisms of action for novel small molecule therapies
• Manage, integrate, analyze, and visualize multi-omics data and workflows to characterize chemical and genetic perturbations of tumors
• Develop, evaluate, implement, and perform algorithms and reproducible workflows for data analysis
• Work closely with the target validation team and contribute to the identification and validation of novel oncology targets leveraging public and proprietary datasets
• Empower Biology and Chemical Biology teams to develop, optimize and implement experimental and analytical strategies
• Communicate and visualize results clearly and succinctly in plots and dashboards
• Summarize and present scientific results with clear conclusions and recommendations
• Develop documentation of analyses conducted and/or analysis plans and specifications
• Support infrastructure and provide code base maintenance (documentation, testing, and version control)
• Maintaining expertise in state-of-the-art computational methods.
• Identify or validate target engagement, mechanism of action and biomarkers for sensitivity to novel anti-cancer therapies, leveraging and integrating public and proprietary datasets

Skills: Bioinformatics, Data Integration, Algorithm Development, Target Validation, Experimental Strategy, Data Visualization, Communication, Documentation

• Drive research efforts to build advanced models for next-generation algorithms and products
• Collaborate with assay development scientists on the design and development of novel assays and sustaining and troubleshooting of existing products
• Design and execute analysis plans to generate insights from large volumes of experimental data for improving assays and bioinformatics pipelines
• Develop tools and automated analysis pipelines for diagnostic tests
• Provide written documentation and specifications
• Collaborate with statisticians, other bioinformatics scientists, LIMS engineers, CLIA lab scientists
• Develop and optimize NGS-based software including variant calling, gene expression, epigenetic analyses, single-cell sequencing
• Integrate diverse NGS and non-NGS data sets to identify cancer drivers, predictive biomarkers, and mechanistic hypotheses
• Apply statistical fundamentals to biological datasets
• Design and implement novel computational approaches
• Develop applications using Python, R, C/C++, and other programming languages

Skills: Algorithm Development, Assay Development, Troubleshooting, Data Analysis, Tool Development, Documentation, Specification Writing, Collaboration

• Performs data-driven DNA/RNA modeling tasks
• Runs and analyses sequence simulations
• Performs scientific research on RNA sequence optimization
• Uses and develops new technologies in designing and improving the platform technology for sequence optimization for stability and expression
• Creatively creates new constructs based on available knowledge and uses results of experiments to further improve platform algorithms
• Supports the production team with the high throughput cloning platform
• Supports the QC team with high-throughput analytics
• Provides support to the product and platform project teams
• Links up with academic and/or other technology partners for platform development and improvement
• Present results to scientific teams and/or management

Skills: DNA/RNA Modeling, Sequence Simulation Analysis, Research, Technology Development, Construct Design, Throughput Cloning, Throughput Analytics, Collaboration

• Understand regulatory submission documentation and relay relevant information to the Regulatory team.
• Understand and defend analytical experiments.
• Understand statistical methods and procedures used in clinical assay validations.
• Interface with the bioinformatics team to support the Regulatory team and the regulatory agency inquiries.
• Analyze and author laboratory NGS assay validation results.
• Sustain and Support production laboratory testing, including Quality Control results, patient results and reports. 
• Work with colleagues in research and development to design, build and deploy state-of-the-art scientific algorithms and software tools
• Closely work with colleagues to identify, design, and implement process improvements (automating manual processes, optimizing data delivery, re-design infrastructure)
• Assemble and integrate large, complex data sets to extract actionable information, and to develop disease hypotheses for subsequent validation.
• Advocate scientific ideas and actions, and execute strategies to support and advance R&D initiatives.

Skills: Regulatory Compliance, Analytical Experimentation, Statistics, Bioinformatics, NGS Assay, Laboratory Support, Algorithm Development, Process Improvement

• Develop and apply state-of-the-art bioinformatics tools, integrating machine learning, parallel computing and data
• Translate bioinformatic discoveries and designs into clinically relevant and actionable information
• Initiate and manage projects, collect and curate data for method development
• Working with clinical and pre-clinical teams to test and improve AI platforms
• Participate in designing studies to generate data for building new bioinformatic AI systems
• Contribute to agile development and documentation of the developed code and tools
• Contribute to the analysis of clinical trial findings
• Design and develop pipelines to address novel analytical challenges and to automate established analysis
• Work closely with regulatory, assay, and biostats team on IVD study design, execution, and report writing
• Responsible for supporting and troubleshooting on-market products

Skills: Bioinformatics Tool, Clinical Translation, Project Management, Collaboration, Teamwork, Study Design, Agile Development, Documentation

• Use SQL and other scripting languages to retrieve relevant data from various bioinformatics databases.
• Use Python to perform lab concordance analysis using relevant data
• Use Python and/or R to perform statistical analyses on large data sets
• Collaborate with team members, Tempus scientists and clinicians, and team management
• Assist in designing and performing the analyses on cancer clinical sequencing data
• Communicate findings clearly and logically to help stakeholders make scientific decisions based on data
• Produce high-quality and detailed documentation for all projects
• Develop algorithms for the analysis of vast amounts of NGS data spanning different data types and platforms for translational research and clinical applications.
• Apply best practice statistical/computational methods to analyze large-scale somatic biological data

Skills: SQL, Python, R, Team Collaboration, Analytics, Communication, Documentation, Algorithm Development

• Working with short and long-read technologies to develop novel variant calling methods for challenging variant types
• Analyzing population-scale sequencing data to benchmark and improve variant callers
• Statistical and population genetics analysis of large datasets
• Applying algorithms and computing strategy to make large-scale data analysis feasible and support translation into products.
• Communicate research findings internally and externally through presentations and manuscripts
• Collaborate with assay, clinical and computational scientists at Illumina and external academic laboratories to deliver complete products
• Build and manage a group of PhD-level data scientists
• Evaluate existing bioinformatics approaches and develop novel methods to push the state-of-the-art
• Document the methods and analyses to allow reproducible research
• Present and communicate findings in cross-functional teams
• Provide feedback and suggest research directions based on analyses performed

Skills: Bioinformatics, Data Analysis, Algorithm Development, Communication, Collaboration, Leadership, Innovation, Documentation

• Develop new bioinformatic approaches, preclinical and clinical data processing and review.
• Validate and update the computational methods in internal analysis pipelines.
• Integrate and automate the analyses on the cloud.
• Drive the execution and delivery of data and analysis by collaborating with wet lab scientists and quality teams.
• Prioritize and complete multiple parallel projects.
• Design and implement data preprocessing pipelines for novel wet-lab technologies
• Develop new methodologies and software tools to analyze single-cell omics data
• Design and implement an analytical framework to integrate multiple types of omics data
• Improve existing software tools to better fit the research goals and requirements
• Deploy automated pipelines in the interactive cloud environment with a graphical user interface to facilitate user accessibility
• Publish codebase or software as part of high-impact publications or releases

Skills: Bioinformatics, Computational Method, Cloud Computing, Collaboration, Communication, Project Management, Pipeline Development, Algorithm Development

• Working experience in bioinformatics, computational biology, statistics, or related fields.
• Experience analyzing bulk and single-cell RNA-Seq, ATAC-seq, flow and CyTOF phenotyping, serum proteome, SNP genotyping, and microbiome profiling.
• Practical knowledge of computerized data analysis, database management, and computer programming sufficient for the analysis of genomics datasets
• Experience with the operation and maintenance of computers with Linux or Microsoft operating systems.
• Programming experience in environments such as Linux, Bioconductor R, Perl and/or Python.
• Have attention to detail with excellent organizational skills
• Troubleshooting abilities, and strong written and oral communication skills.
• Proficiency in C/C++ and/or Java as well as experience with multiple OS platforms
• Experience with database design and construction, and dynamical system theory and modeling
• Computer programming skills with proficiency in R and at least one scripting language (Perl/Python/Ruby).

Qualifications: BS in Bioinformatics with 6 years of experience

• Experience in Molecular Biology, Bioinformatics, Microbiology, or relevant life sciences field
• Proficiency in scripting in Python, Unix/Bash, Perl, or R
• Proficiency in working with large NGS datasets and solid foundation in UNIX command-line
• Proficiency in the analysis of large-scale metagenomics and/or microbiome datasets
• The ability and initiative to learn and build new pipelines/tools
• Familiarity with open-source bioinformatics tools, algorithms, and relevant literature for genome mining for natural product biosynthesis
• Good understanding of molecular biology/microbiology concepts and next-generation sequencing technologies
• Ability to derive relevant biological insights/conclusions from the outputs of bioinformatics analysis.
• Be systematic, and creative problem-solving approach to projects
• Excellent communicator who can clearly explain complex concepts to non-experts, and can grasp new concepts quickly, asking clarifying questions
• Ability to closely collaborate with molecular/chemical biologists and microbiologists

Qualifications: BS in Computer Science with 5 years of experience

• Familiarity with a scripting language (e.g. R, python) and Linux programming.
• Independent problem-solving skills with the ability to quickly learn new things.
• A basic understanding of the fundamental concepts and the intuition behind NGS analysis techniques
• Some familiarity with machine learning and statistical modeling
• Familiarity with Nextflow, Docker, and AWS
• Team player with initiative, professionalism, and good interpersonal/communication skills.
• Excellent written and oral communication skills.
• Demonstrate a high degree of professionalism, enthusiasm, and initiative daily.
• The ability to work in a fast-paced environment with attention to detail is critical to the success of this position.
• Be a self-starter and work on projects with minimum supervision.
• Familiarity with the literature and ability to write publications.

Qualifications: BS in Biological Sciences with 8 years of experience

• Experience in Bioinformatics, Computer Sciences, or Computational Biology
• Experience working with genomic data in a computational role.
• A deep understanding of commonly used databases and bioinformatics tools (e.g. Samtools, Bedtools, IGV, ANNOVAR, GATK) and file formats (e.g. BED, VCF, FASTQ, BAM)
• Expert knowledge of Linux operating systems and a programming language such as Python, Java, or C++
• Experience with Django, SQL, R, HTML/SCC, Javascript, and XML
• Knowledge of applying data science and machine learning methods on molecular data for biomarker discovery.
• Working knowledge of software development and web application development.
• Working knowledge of cancer genomics and disease biology.
• Working knowledge of sequencing technology and next-generation sequencing hardware and software
• Next-generation sequencing data analysis experience.

Qualifications: BS in Computational Biology with 5 years of experience

• Experience in bioinformatics/biostatistics/computational biology applied to immunology
• Demonstrated track record of delivering cutting-edge research in bioinformatics & computational systems immunology
• Deep experience with some or all of the following single-cell technologies (FACS, CyTOF, single-cell RNA-seq, single-cell epigenomics)
• Good understanding of immunology and disease transitions
• Proven track record of setting and meeting goals/milestones/deliverables across multiple projects
• Good oral and written communication skills in presenting analysis of complex data types
• Deep expertise in R and/or Python, Git, Unix shell scripting, and batch processing
• Proven ability to work and think across disciplines
• Strong teamwork and communication skills (both verbal and written)
• The ability to coordinate collaborations with the Institute’s Experimental Immunology and Molecular Biology teams and with research partners

Qualifications: BA in Statistics with 4 years of experience

• Familiarity with NGS data formats and tools
• Ability to develop analyses, models, and reproducible reports with Python or R
• Experience developing or validating tests or devices in a collaborative or regulated environment
• Experience troubleshooting, maintaining, or launching a medical product
• Experience analyzing, troubleshooting, and visualizing wet lab experiments
• Experience in sequence data analysis and open-source bioinformatics tools
• Good skills in Python, R, and shell scripting with an understanding of applied statistics
• Familiarity with the genomics of human disease
• Ability to work effectively as part of a team
• Excellent written and verbal communication skills
• Excellent problem-solving skills and ability to learn quickly on the job

Qualifications: BS in Genetics with 7 years of experience

• Experience in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline. 
• Excellent computational and analytical skills with attention to detail
• Deep understanding of a chosen research field such as cell biology, genomics, cancer biology or clinical oncology.
• Experience working on interdisciplinary teams that include scientists, programmers, and clinicians.
• Proficiency in programming languages including Python, R, and SQL
• Familiarity with Linux environments and exposure to cloud infrastructures such as AWS.
• Interest in data science and machine learning approaches to solving complex problems.
• Experience in developing and documenting high-quality code using version control tools (especially Git) and software issue tracking/management systems (especially Jira)
• Hands-on experience with NGS tools such as Samtools, BWA, GATK, and others.
• Highly motivated, great ability to work independently or as part of a team.

Qualifications: BS in Molecular Biology with 8 years of experience

• Experience in Bioinformatics, Computational Biology, Computer Science, or Biology
• Excellent computational and analytical skills with attention to detail
• Working experience related to bioinformatics work in a clinical laboratory 
• Experience in academia, biotechnology, or other healthcare field (involving next-generation sequence data analysis)
• Experience in NGS analysis and methods as well as the computing infrastructure and data management methods to support NGS
• First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery. 
• Experience in integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data
• Proven success in independent effort and delivering high-quality data with biological relevance in a team environment
• Experience in computational discovery and characterization of natural products
• Familiarity with AWS, Docker, and HPC
• Understanding of Phylogenetic and taxonomic analysis, sequence/structure/function analysis

Qualifications: BS in Biotechnology with 7 years of experience

• Knowledge of statistical/human genetics or bioinformatics/computational biology.
• Experience in computational or statistical sciences or bioinformatics 
• A strong emphasis on computational methods for high-throughput genomic and genetic data analysis
• Experience in managing, processing, analyzing, and interpreting data generated from one or more next-generation sequencing technologies
• Expertise with publicly and commercially available bioinformatics tools for next-generation sequencing analysis and genetics and genomics databases.
• Programming experience in the use of a high-level programming language such as Perl, Python, and R. 
• Familiarity with working in Linux and high-performance cluster computing environments.
• Knowledge of molecular biology and experience in biological interpretation of human genetic data
• Strong communication and interpersonal skills with the ability to present and explain findings to a diverse audience.
• Good publication record in top-tier peer-reviewed journals.
• Highly motivated and able to work both independently and collaboratively, and handle several concurrent, fast-paced projects.

Qualifications: BS in Chemistry with 5 years of experience

• Expert-level knowledge of advanced sequencing, array-based technologies, and proteomics technologies
• Professional  proficiency in NGS data analysis and Microsoft Office
• Strong statistics, machine learning, and data mining skills
• Strong programming skills including Perl, Python, or R
• Knowledge in drug development, screening, target discovery and biomarker identification
• The ability to work independently as well as in a team environment
• Be responsible and have strong time management skills
• Able to analyze and resolve issues of moderate complexity
• Possess strong attention to detail and organizational skills
• Demonstrate professional communication and interpersonal skills

Qualifications: BS in Data Science with 9 years of experience

• High proficiency in scripting languages, such as Python, Perl, or R
• Prior experience with protein visualization software (e.g PyMoL or Chimera)
• Prior experience working in protein purification
• Prior experience with protein binding assays, such as ELISA and bio-layer interferometry
• Prior experience with viral antigen or antibody research
• Experience in computer science, bioinformatics, computational biology, mathematics, or related fields
• Exceptional development skills, especially in the implementation of novel algorithms
• Strong background in statistics and numerical analysis with Biology knowledge
• Excellent programming skills C, C++ and/or C# .NET 
• Excellent  scripting languages such as Python or MATLAB
• Strong communication and presentation skills

Qualifications: BA in Applied Mathematics with 5 years of experience

• Experience in bioinformatics, biostatistics, biomedical engineering, computer science and other related fields
• Solid understanding of principles and analytical methodologies in computational biology and bioinformatics.
• Hands-on experience with state-of-the-art bioinformatics tools, including NGS and proteomic pipelines
• Proven ability for developing and maintaining bioinformatics pipelines.
• Experience in developing database and data-driven applications.
• Programming skills with Perl, Python, shell scripting and/or Java.
• Skills in statistical analysis and proficiency with statistical packages such as R and SAS.
• The ability to understand laboratory and clinical data.
• Familiarity with clinical trial design and clinical data analysis is highly desirable.
• Proficient verbal and written communication skills, and organizational skills
• Willingness to share and receive information and ideas from all levels of the organization to achieve the desired results.

Qualifications: BS in Systems Biology with 6 years of experience

• Experience working with Next Generation Sequencing (NGS) and a broad range of bioinformatics software and algorithms
• Expertise working with large-scale genomic data (e.g., RNA-seq, exomeSeq, ctDNAseq, TCRseq, single cell assays, microarrays, flow cytometry, ATACseq, CHIPseq, etc.).
• Familiarity with multiple DNA sequencing platforms (e.g., Illumina, Ion/Proton, PacBio, Oxford Nanopore, etc.)
• Familiarity with tools for the analysis and visualization of high dimensional flow cytometry and proteomics data.
• Proven coding expertise in languages such as R or Python for bioinformatics for analyses, applications, and shiny tools
• Strong skills in machine learning, classification, statistical modeling, etc. 
• Prior experience in Amazon Web Services (AWS or similar cloud computing environments) 
• Ideally experienced in the applications of immunology and/or immuno-oncology
• Strong track record of peer-reviewed publications
• Excellent presentation skills, writing skills, and effective day-to-day project team communications.
• Ability to manage multiple priorities, supervise technical staff, and work collaboratively with colleagues to achieve goals
• Strong skills in the organization, processing, analysis, and reporting of data, resourcefulness in overcoming challenges
• The ability to thrive in a collaborative and fast-paced team environment

Qualifications: BS in Neuroscience with 8 years of experience

• Demonstrated knowledge of large-scale genome analytics (host and pathogen) and data structures.
• Undersanding of NGS tools like bwa, Samtools, VCF tools, Picard, GATK, Freebayes, ANNOVAR, VEP.
• Basic knowledge in biostatistics, molecular biology, and/or computer sciences.
• Knowledge in analyzing next-generation sequencing data. 
• Experience with pathogen genomics, single-cell genomics data like single-cell RNA-seq, single-cell ATAC-seq, or single-cell DNA methylation data
• Demonstrated knowledge in statistics and programming languages such as Python, Perl, and R.
• Knowledge of network and cloud-based Unix/Linux environments to enable the development of production-ready remote computational pipelines.
• Experience in a computational-focused early-stage company or at a pharmaceutical company
• Strong experience with pipeline development, bioinformatics tools, and data management
• Experience using general-purpose programming languages (C++, Java, Go, R, Python)
• Experience with cloud-based storage and service tools (Google, AWS, etc)
• Experience working with epigenetic and transcriptomic data
• Demonstrated industry experience and academic achievement

Qualifications: BA in Computer Information Systems with 6 years of experience

• Working experience in bioinformatics, computational biology, data science, or relevant fields.
• Track record of working with mammalian genomics and genome-scale data analysis.
• Proficient with bioinformatics tools and pipelines, especially NGS data processing.
• Familiarity with cloud services (AWS) and databases (SQL) for genomics data processing.
• Skilled in programming languages such as Python or R.
• Experience using machine learning methods and statistical models.
• Strong communication skills with the proven ability to relay information effectively and efficiently
• Experience working collaboratively with teams on project work.
• Ability to document work appropriately to ensure work is repeatable and understood across teams.

Qualifications: BS in Physics with 5 years of experience