• Facilitating data entry through scripting abilities
• Applying data processing and analysis pipelines has developed new datasets, as well as helped in the development of new pipelines
• Creating and developing data models for the storage of complex biological data types
• Ensuring the best data management practices are upheld across the organisation
• Working collaboratively with the team and with external partners
• Presenting ideas and novel work to employees from a wide range of technical backgrounds
• Keeping current on new cloud computing techniques, methodologies, and approaches
• Interact and collaborate with biologists and bioinformaticians on the team
• Design and execute analysis tasks, principally around NGS-based screening data
• Apply appropriate statistical tests to interpret experimental data accurately and precisely

Skills: Scripting, Data Pipelines, Complex Modeling, Data Management, Teamwork, Presentation, Cloud Computing, Biologist Collaboration

• Formulate statistical and mathematical approaches to address scientific questions proposed by NIH biologists and researchers
• Develop computational tools for effective and efficient analysis of large-scale genomic data, including sequence-based, structure-based, array-based, and proteomic data
• Build web-based, n-tiers high-performance applications
• Support active collaborations on scientific projects through the deployment of professional personnel
• Perform software development support and maintenance 
• Create project planning timetables incorporating development, beta-testing, portability, and troubleshooting
• Write robust documentation for all software projects in a timely fashion, using proper English
• Develop concepts for resolving technical issues
• Develop business cases, strategies, and processes for evaluating bioinformatics projects, success metrics
• Analyses cost and effort, recommendations for go/no-go decisions, tracking, and reporting

Skills: Statistical Formulation, Genomic Tool Development, Web Application Building, Project Collaboration, Software Maintenance, Project Planning, Documentation Writing, Technical Issue Resolution

• Develop and refine novel methodologies and algorithms for DNA methylation and sequence analysis using next generation sequencing data.
• Establish robust data processing pipelines, initially for R&D purposes, but developing toward clinical grade assays.
• Collaborate closely with the assay design team, providing timely feedback, scientific input 
• Quantitative assessment of data generated by wet lab scientists.
• Provide technical guidance in the design and analysis of experiments during all phases of development.
• Keep up to date with the developing literature for the analysis of methylation data using high throughput sequencing technologies and contribute these insights to the team.
• Produce high quality written documentation of methods & algorithms, plans, and findings.
• Interact with external collaborators in the context of clinical trials and pilot studies.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.

Skills: Algorithm Development, Pipeline Establishment, Design Collaboration, Quantitative Assessment, Experiment Guidance, Literature Review, Documentation Writing, External Collaboration

• Work with wet-lab scientists during experimental design and analysis phases
• Understanding goals, providing statistical support, and assisting with interpretation.
• Integrate and upgrade current analytical pipelines based on new requirements and features.
• Provide support to molecular biologists and protein engineers with next-generation sequencing data/sequence databases.
• Design and implement new bioinformatic software tools to support experimental and commercial activities.
• Review and deliver high-quality software code for both experimental and production versions.
• Maintaining accurate documentation and following software best practices
• Enable efficient reporting, versioning, and integration.
• Document and communicate analytical findings clearly to colleagues and senior leadership
• Devise and develop new tools, workflows, and strategies to understand our data in new ways

Skills: Wet-Lab Collaboration, Statistical Support, Pipeline Integration, Next-Gen Sequencing Support, Software Tool Development, Code Review, Documentation Maintenance, Analytical Findings Communication

• Assist in the identification of publicly available genomic and transcriptomic datasets with a focus on leveraging value from Oncology and Autoimmune based studies
• Process these valuable datasets through a proprietary NGS analysis pipeline 
• Align sample metadata to enable harmonisation across multiple studies
• Conduct single cell analysis to identify and harness information from niche cell types of interest.
• Provide ad hoc bioinformatics support across Research departments and Translational Medicine
• Working with wet-lab scientists during experimental design and analysis phases
• Integrating and upgrading current analytical pipelines based on new requirements and features
• Provide support to scientists with next-generation sequencing data and designing new bioinformatic software tools
• Delivering high-quality software code for both experimental and production versions
• Conduct machine learning based algorithms to deconvolute expression signals from bulk RNA-seq back to distinct cell types

Skills: Genomic Data Mining, Ngs Pipeline Management, Metadata Organization, Single-Cell Analytics, Bioinformatics Assistance, Wet-Lab Partnership, Pipeline Enhancement, Ngs Support, Machine Learning

• Help design and execute data analytics plans to fulfill the needs of individual cancer research projects
• Analyze and interpret data to support collaborative translational research
• Develop and use bioinformatics tools to analyze genomic, transcriptomic, and other data sets
• Perform n-of-1, cohort, and cross-platform analyses
• Explore and mine for relevant information and novel clinical associations
• Apply best practice statistical and/or computational methods to the analysis of large-scale genomic data sets
• Communicate results with basic, translational, and clinical researchers
• Work independently and collaboratively on multiple cancer genomics projects
• Ensuring the documentation of these developments for use by other colleagues.
• Perform scientific literature reviews to keep up-to-date with the bioinformatic tools, and software, sequencing technologies, and analysis tools of sequencing data

Skills: Analytics Plan Design, Translational Data Analysis, Bioinformatics Tool Development, Diverse Data Analysis, Information Mining, Statistical Methods Application, Results Communication, Independent Project Work

• Run and analyze molecular dynamics (MD) simulations and perform protein modeling tasks
• Do structure and sequence analysis of therapeutic targets
• Solve classical bioinformatic problems and develop bioinformatic pipelines
• Provide support to therapeutic and platform projects as a member of the extended project team
• Present results to scientists of varying technical backgrounds
• Planning and developing bioinformatic toolchains and pipelines for NGS diagnostics
• Maintenance of end-user software and web applications and monitor automated data processing pipelines.
• Bioinformatic data analysis and algorithm development
• Close collaboration with medical experts and diagnostic teams to coordinate and plan new diagnostic methods
• Assist in the standardization and management of SOPs for the R&D bioinformatics team

Skills: Md Simulations, Protein Modeling, Target Analysis, Bioinformatic Problem-Solving, Pipeline Development, Project Support, Results Presentation, Toolchain Planning

• Reinforce a team of bioinformaticians within the Genomics department. 
• Develop, optimize and implement pipelines and algorithms for big data analyses
• Management and design of computational workflows, including data QC
• Communication of results to biologists and company leadership
• Aggregate and analyze both public data as well as data from Ezra’s experiments
• Design gene therapy and genome editing approaches based on comparative genomics analysis 
• Generate insights from high-throughput data to answer questions in neuroscience WGS, Single-cell, bulkRNA-seq, ChipSeq, CRISPR screens.
• Document code, analyses, and streamline workflows
• Analyze data from Genome editing and siRNA therapeutics from off-target predictions and experimental data analyses.
• Work on NGS approaches for the characterization of packaged AAV genomes and support product and analytical development.

Skills: Team Support, Big Data Analysis, Workflow Management, Results Communication, Data Aggregation And Analysis, Gene Therapy Design, High-Throughput Insights, Documentation

• Create and maintain analysis platforms for additional sequencing and flow cytometry based projects, most of which will be lab-specific. 
• Analyze bulk and single-cell omics data, flow cytometry data, and proteomics data
• Perform pathway analysis on potential biomarkers and work with immunology labs to understand roles in disease mechanism
• Interact with individual labs and, together with the relevant member(s) of each lab, determine analysis needs for each sequencing project. 
• Empower each lab to perform “routine” analyses themselves, while providing guidance, support, and insights
• Interface with other members of the immunology community to support each project, including the flow cytometry facility and additional labs.
• Provide quarterly training modules to lab members to teach how to best design
• Perform experiments and analyze data across a variety of experimental platforms.
• Use technical tools to display data and build a data pipeline for future cancer screening prototypes
• Advise the machine learning team on how to revise experiments and/or adjust research and development project initiatives

Skills: Platform Maintenance, Omics Data Analysis, Pathway Analysis, Lab Collaboration, Empowerment Guidance, Community Interface, Training Module Development, Experimentation

• Assist with improving surveillance to help better coordinate resources and responses across the healthcare spectrum.
• Develop models that can serve as an example for other respiratory infections and pandemics to reduce morbidity and mortality of such infections.
• Provide expert informatics support for assisting hospitals with EHR reporting to NHSN AU/AR module and piloting an HAI Outbreak Reporting System.
• Integrate data between hospital EHRs, the state designated HIE and public health agencies
• Assist in maintaining compliance with Federal rules and regulations pertaining to clinical diagnostic testing with the new procedures that are introduced.
• Identify and link pathogenic organisms to local and national outbreaks including sequencing isolates.
• Determine the genomic basis of antimicrobial resistance that would allow for rapid detection of genes conferring AMR in an isolate.
• Develops safety policies and procedures, participating in the safety training, education of staff
• Inspecting work areas and activities for hazards and investigating accidents.
• Provides expert advice relating to biosafety and biosecurity to internal and external stakeholders.

Skills: Surveillance Assistance, Pandemic Modeling, Informatics Support, Data Integration, Regulatory Compliance, Outbreak Investigation, Antimicrobial Resistance Genomics, Safety Policy Development

• Previous experience in bioinformatics research
• Experience in using bioinformatics resources
• Experience in statistical analysis in bioinformatics 
• Knowledge of statistical scientific methodologies
• Familiarity with genomic profiling techniques and statistical analysis of a variety of genomic data
• Strong programming skills in R
• Experience in handling Next Generation sequencing data, machine learning, tools in a UNIX/LINUX environment
• Understanding of relevant biology and demonstrated initiative to keep up with evolving trends in bioinformatics and genomics
• Knowledge and experience with cancer genomics
• Fluency in R and Python/Perl, machine learning approaches and applications

Qualifications: BA in Biology with 3 years of Experience 

• Experience in bioinformatics, statistics, or a related field of study.
• Strong understanding and working experience in applying statistical principles to biological problems.
• Expertise in working with biopolymer sequences, next-generation sequencing data, and biological databases (NCBI etc).
• Proficiency in Python or R, familiarity with Perl.
• Proficiency in shell scripting and constructing analysis pipelines.
• Active problem diagnosis and creative problem-solving skills.
• Comfortable working in a group environment and interacting with a range of stakeholders across the business.
• Experience/knowledge In The Following Areas Would Be Advantageous
• Practical experience in applying machine-learning principles towards biological problems.
• Experience deploying applications to users through web applications.

Qualifications: BA in Biochemistry with 4 years of Experience 

• Proficiency with Python and proficiency with R
• Experience with PostgreSQL, MySQL, or similar
• Proactively and directly communicates and collaborates with other team members
• Experience in the drug discovery industry
• Experience with using and adapting LIMS software
• Experience with noSQL approaches to data
• Experience in building and deploying web applications in AWS
• Strong communication skills (French and/or English) oral as well as written.
• Able to work in a team, and like to interact with other people.
• Show good organization skills and scientific rigor.

Qualifications: BS in Computer Science with 2 years of Experience 

• Expertise in bioinformatics, computational biology, biostatistics & mathematical modelling
• A clear understanding of the contribution of bioinformatics to drug discovery
• Expertise in the analysis of NGS-derived data (amplicon based, ideally) covering QC, handling, processing & interpretation
• Proficiency analysing and interpreting data from 'omic platforms (genomics, transcriptomics, epigenetics, proteomics)
• Excellent knowledge of statistical principles as applied to biological problems
• Mastery of programming with R (minimally) and data visualisation expertise
• Rigorous attention to detail, structured thinking, consistent and reliable, team player
• Excellent communication skills and ability to disseminate complex data to a non-expert
• Experience analyzing pooled functional genomic screening data (e.g. shRNA, CRISPR)
• Experience in machine learning, graph modelling, artificial intelligence, Bayesian analytics or other non-traditional approaches to model biological data

Qualifications: BS in Biomedical Engineering with 4 years of Experience 

• Proficient in R/BioConductor, Linux OS and shell scripting bash. 
• Proven programming ability, preferably competent in Python.
• Understanding of molecular biology, cell biology, immunology or related discipline
• Worked and contributed actively in a diverse team environment.
• Must be able to communicate on a technical level with other scientists from unrelated disciplines
• Self-motivated, demonstrated success in delivering assigned tasks according to timelines
• Ability to think outside the box and problem-solve
• Enjoy working in a fast-paced environment as part of a motivated team
• Background in running NGS or single-cell analysis pipelines
• Machine learning experience

Qualifications: BS in Mathematics with 3 years of Experience 

• Experience in bioinformatics and/or academic research
• Strong programming and data visualization skills
• Mastery of Python, R, or Julia
• Experience analyzing genomics datasets (e.g. RNA-seq, scRNA-seq, ChIP-seq, ATAC-seq, WES, WGBS)
• Past experience designing and leading experiments
• Experience with some or all of the following single cell technologies: single-cell RNA-seq, single-cell epigenomics FACS, CyTOF
• Experience in pattern recognition or modeling of synthetic biology networks
• Experience in handling protein structure data and tools used in structural bioinformatics
• Experience in developing R Shiny apps
• Deep understanding of, and experience with, developing immunotherapy in oncology

Qualifications: BS in Genomics with 3 years of Experience 

• Experience with full software development lifecycle
• Experience with Java/Java EE (EJB 3.x, JPA 2.x, Servlet 2.x, JSP 2.x, JSF 2.x, EL, JAX-WS, JAX-RS, XML, etc.)
• Familiarity with development tools: Eclipse, NetBean, Ant, Maven, SVN, JIRA / BugZilla
• Experience with modern frameworks such as JUnit, Hibernate, Strut 2, Seam, GWT, Spring, Lucene
• Prior use and knowledge of scripting languages: Perl, Python, and/or Shell
• Working knowledge of major public bioinformatics databases and tools
• Experience with Web Service implementation
• Ability to adapt to a dynamic work environment 
• Ability to work cooperatively with team members and clients from a broad range of disciplines and subject-level expertise
• Understanding of the principles of business and project management

Qualifications: BS in Computational Biology with 3 years of Experience 

• Experience in building predictive models for embryo viability.
• Specialized in Computational Biology, Data Science, Bioinformatics, or similar.
• Experience in the statistical analysis of biological data.
• Advanced knowledge of machine learning techniques.
• Experience working with private and open-source software for data analysis.
• Knowledge about different programming languages such as R, Python, Java…
• Experience in analyzing results coming from chromatography and/or mass spectrometry.
• English proficiency level and open to travel.
• Communication skills in both English and Spanish.
• Curiosity and willingness to improve and learn.

Qualifications: BS in Information Technology with 2 years of Experience 

• Hands-on experience in the fields of bioinformatics and genomics
• Experience in  working with various public and proprietary data repositories 
• Demonstrated ability to understand data, apply techniques to interpret data, and summarize conclusions 
• Demonstrated experience handling high fidelity / highly rigorous data supporting regulatory submissions
• Expert with graphical modeling approaches, tools, and model repositories
• Strong use of statistical, algorithmic, mining and visualization of data techniques
• Ability to quickly and easily create custom pipelines for data analysis
• Passion and creativity to solve scientific problems through the lens of data analysis
• Excellent numeracy and English language skills (both written and verbal)
• Excellent communication skills (both written and verbal)

Qualifications: BS in Data Science with 5 years of Experience 

• Attention to detail, good time management skills, able to engage with urgency  
• Able to work independently after training
• Strong team player, able to partner with others responsible for tools and process
• Strong interest in contributing to biological research with clinical applications
• Highly collaborative and supportive of business and of its ideals and strategies
• Practical in approach to decision making, recommendations and problem solving that is principle-based
• An understanding of the principles of oncology / immune oncology
• Experience with biomedical and cancer research
• Demonstrated initiative in experimenting with new technologies
• Experience working in Agile environments

Qualifications: BS in Computer Science with 3 years of Experience