• Be responsible for leading the computational biology effort and building it from the ground up. 
• Be responsible for improving and expanding platform analysis capabilities. 
• Analyze large data sets and translate findings into actionable experimental designs 
• Have a deep understanding of RNA Biology (structure-function, interactions)
• Be responsible for supporting large data processing and analysis generated internally
• Take responsibility for planning and executing computational analysis for multiple project teams.
• Have experience in developing analysis pipelines. 
• Be responsible for working with other disciplines such as IT to define infrastructure needs 
• Generate and support the generation of IP for core projects
• Solves researchers’ problems quickly and professionally.

Skills: Platform Analysis Improvement, Large Data Set Analysis, RNA Biology Expertise, Data Processing and Analysis, Computational Analysis Planning and Execution, Analysis Pipeline Development, Infrastructure Collaboration

• Create a range of applications, including scientific, graphical user interface, database, and visualization applications on UNIX platforms.
• Identify and collect requirements, and design and implement software solutions that are maintainable and extensible while following standard methodologies for high-performance scientific computing software.
• Maintain and improve existing software - adapting components to meet evolving requirements.
• Provide software development/computer science support to multidisciplinary teams and end-users.
• Take ownership of various projects/tasks while leveraging team members’ skills to complete projects/tasks.
• Document development efforts in repositories, user manuals, and presentations.
• Provide solutions to complex problems that require in-depth analysis of multiple factors and the creative use of established methods.
• Handle multiple parallel tasks and priorities to ensure deadlines are met.
• Lead small teams to address key challenges on projects and implement solutions throughout the code infrastructure.
• Supports and contributes to research grant proposal development.

Skills: UNIX Application Development, Software Solution Design, Software Maintenance and Improvement, Multidisciplinary Team Support, Project Ownership, Development Documentation, Complex Problem Solving, Parallel Task Management

• Prepares and implements remediation and corrective action plans, audits response timelines, and escalation plans, communicates expectations in a collaborative environment
• Conducts for-cause and spot audits of clinical trials
• Develops, implements, and maintains Compliance policies and standard operating procedures
• Assesses resources and needs to meet NCI-Designated Cancer Center guidelines and Center strategic planning goals
• Acts as primary Institutional contact for compliance and regulatory-related communications with outside sponsors, partners and regulatory institutions
• Participates in Consortium study review committees
• Coordinates with the Regulatory Affairs team when needed to address regulatory-related matters
• Defines compliance and quality metrics performs qualitative and quantitative data analyses and reports findings to senior management
• Assists with the development of standard training requirements and assists with ongoing compliance-related education and training for investigators and research personnel
• Identifies compliance risks during study start-up and management, works directly with investigator and research personnel to define root causes and recommend areas of training and process improvements

Skills: Remediation Plan Implementation, Clinical Trial Auditing, Compliance Policy Development, Resource Assessment, Regulatory Communication, Study Review Committee Participation, Compliance Metrics Analysis, Compliance Training Development

• Apply statistical and predictive modeling techniques, and lead programming activities to develop and validate interactive data analysis packages to facilitate exploratory and confirmatory analyses for decision-making in collaboration with responsible statisticians
• Support the development of clinical data analysis applications that help to automize pipelines and support clinical experts and decision-makers
• Collaborate with subject matter experts to select and obtain the relevant tools and sources of information needed for data analysis
• Assist team in providing solutions for analytical problems and documenting results and methodologies together with functional counterparts (internal and external), team leaders, and subject matter experts
• Provide expertise and educate the organization on new approaches for data analysis. 
• Assist the organization in understanding and adopting the principles of these approaches and how they provide value to decision-making
• Troubleshoot and implement enhancements and corrections to data analysis tools, systems, and methods
• Explore, evaluate, design and implement new and emerging analytical processes and tools to improve working processes and research
• Ensures timely systems support and updates. 
• Assists in conducting information security assessments and risk analysis of the computing environment.

Skills: Statistical Modeling, Predictive Modeling, Data Analysis Package Development, Clinical Data Application Development, Subject Matter Expert Collaboration, Analytical Problem Solving, Data Analysis Education, Analytical Process Improvement

• Make critical contributions to awesome products in a cutting-edge clinical genomics laboratory.
• Use rigorous data science and modern software best practices to create efficient, reliable, and optimized bioinformatics pipelines.
• Build, validate, and future-proof new products and product features that improve the lives of the patients we serve.
• Work closely with talented molecular biologists, software engineers, automation engineers, and data scientists.
• Characterize data resulting from novel molecular assays and guide molecular protocol development from a statistical perspective.
• Work with legal staff to secure intellectual property rights for inventions about products.
• Participates in the product development life cycle, providing professional assistance to the design of front-end applications and database systems back-end schema. 
• Analyzes high-level system specifications and makes sure that all application development standards are met.
• Develops and presents technical training materials and web-based documentation. 
• Communicate results to stakeholders across the organization, e.g. engineering, marketing, sales, legal, and genetic counseling.

Skills: Bioinformatics Pipeline Development, Product Feature Validation, Cross-Functional Collaboration, Statistical Data Analysis, Intellectual Property Management, Front-End and Back-End Development, Technical Training and Documentation, Stakeholder Communication

• Relevant experience with emphasis on computational methodologies skills
• Excellent knowledge of first principle and data-driven methodologies for molecular properties and reaction design. 
• Strong understanding of thermodynamics and reaction mechanism
• Experience in advanced mathematical modeling, such as the creation of custom models relevant to chemical processes, defining mathematical frameworks and validation of process models
• Working experience in Parameter estimation/Model development
• Experience in MD, MM, DFT, and other relevant techniques
• Experience in modern Machine Learning including Gaussian Processes
• Working knowledge of Python, C++, or other program languages
• Experience in thermochemistry, solubility and solid-state modeling
• A good working knowledge of modeling complex systems

Qualifications: BS in Computational Biology with 4 years of Experience

• Experience in astronomy, astrophysics, computer science, physics, chemistry, or similar.
• Proficiency in one or more programming languages (such as C++, C, etc.).
• Proficiency in a scripting language such as Python.
• Parallelize large scientific codes with MPI and Open MP and use such codes on parallel supercomputing platforms.
• A good working knowledge of Linux/Unix.
• The ability to software design and development methodologies and best practices.
• The ability to install and tune scientific applications software.
• Background with compiler optimization techniques.
• Skilled with Deep Learning frameworks.
• Understand and translate researchers' scientific goals into computational requirements.
• Identify and gain expertise in appropriate new technologies and/or software tools.

Qualifications: BS in Computer Science with 3 years of Experience

• Experience in computational biology or related field
• Prior project management experience and leadership of collaborative projects.
• Knowledge of computational and statistical methods related to epigenetic and expression data sets. 
• Experience working with single-cell analysis
• Proficient in the design and application of analysis pipelines
• Able to quickly learn and adapt computational tools for novel analyses. 
• Working experience with cloud computing 
• Knowledge of genomic technologies, analytical strategies, and software.
• Proven track record of integrating data from multiple disciplines and modalities.
• Excellent leadership, interpersonal, and communication skills

Qualifications: BS in Applied Mathematics with 2 years of Experience

• Experience in computational chemistry, physical or biological sciences, chemical engineering, computer science, or related fields
• Proficiency in general molecular modeling techniques.
• Proficiency in a high-level programming language (e.g. Python)
• Experience with Unix/Linux, and HPC environments.
• Working experience with machine learning.
• Strong track record of publications demonstrating applications of molecular modeling and/or ML to problems of pharmaceutical interest.
• Excellent communication and interpersonal skills.
• Experience in applying molecular modeling and/or ML to mRNA design and optimization.
• Ability to adapt to new projects and technologies.
• A passion for science and a sense of urgency to find new treatments to benefit patients.

Qualifications: BS in Data Science with 4 years of Experience

• Experience in Biochemistry, Chemical Biology, Bioinformatics, Computer Science, or a related field.
• Expertise in RNA splicing and/or single-cell genomics data.
• General knowledge of immunology, genomics, and cancer biology.
• Experience in a genomics research lab, including dissertation work.
• Mastery of a common bioinformatics language (e.g., R or Python) with proficiency in other languages and the bash/Unix command line.
• Familiarity with cloud computing infrastructure, including AWS, Google Cloud, Terra, or a related platform.
• Familiarity with workflow “pipelining” languages/packages (e.g., WDL, Nextflow, snakemake) and docker.
• Ability to work effectively in project teams with members from diverse functions, disciplines, and/or geographical regions
• Contribute ideas and thoughts, able to influence decision-making across a matrix organization
• Ability to adapt to changes and help connect across different R&D sites

Qualifications: BS in Bioinformatics with 5 years of Experience