Biological Data Computational Support

Cherokee Federal; Frederick (MD); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K

Job summary

Cherokee Nation Integrated Health (CNIH) is seeking a Computational Biologist I to provide biological data computational support for high-content imaging and high-throughput screening initiatives. You will collect and integrate diverse data, support a searchable database, and analyze phenotypic screening datasets to help down-select promising small molecules for biothreat-related therapeutic development.

The role emphasizes independent data exploration, development of computational tools, and

Qualifications

• Experience with high-content imaging, high-throughput screening, phenotypic screening, biological assays, chemical compounds, or ADME data.
• Experience collecting, organizing, integrating, migrating, and managing biological, chemical, screening, imaging, experimental, and metadata.
• Experience with database development, data migration, or data management in collaboration with IT teams.

Responsibilities

• Collect data from imaging and screening platforms and support a searchable database.
• Assess workflows to identify data requirements for database configuration.
• Develop analytical and reporting approaches to evaluate screening data and identify promising compounds.

Skills

High-content imaging

High-throughput screening

Phenotypic screening

R programming

Data integration

Biological data management

Scientific communication

Education

Bachelor's in Biological Sciences

Tools

LIMS

Database development

Job description

Biological Data Computational Support (Computational Biologist I)

***This position requires an active Secret clearance or the ability to obtain a Secret clearance to be considered. ***

As required by our governmental client, this position requires being a US Citizen.

Cherokee Nation Integrated Health (CNIH) is seeking a Computational Biologist I to provide biological data computational support for high-content imaging and high-throughput screening activities. In this role, you will collect and integrate biological, chemical, screening, and ADME data; support the development and management of a searchable database with the Information Technology team; analyze phenotypic screening datasets; and develop computational approaches that support the identification and down-selection of promising small-molecule drug candidates for therapeutic product development against biothreat agents.

The successful candidate will apply computational skills and a biological background to support data integration, analysis, reporting, and decision-making related to biological assays, chemical compounds, and phenotypic screening. This position requires the ability to independently explore complex datasets, identify relevant data attributes and relationships, develop computational tools and analytical approaches, and communicate findings effectively to laboratory, technical, and project stakeholders.

Estimated Starting Salary Range for Biological Data Computational Support (Computational Biologist I):

Pay commensurate with experience.

Full-time benefits include Medical, Dental, Vision, 401K and other possible benefits as provided. Benefits are subject to change with or without notice.

Biological Data Computational Support (Computational Biologist I) Responsibilities Include:

• Collect data generated from high-content imaging and high-throughput screening platforms and support the development of a searchable database that captures relevant biological, chemical, screening, and experimental metadata.
• Assess high-throughput screening workflows and identify requirements, relevant fields, and data attributes needed to support database configuration and management.
• Capture, integrate, and migrate biological, small-molecule chemical, screening, and ADME data into the database and support ongoing data management.
• Develop and apply analytical and reporting approaches to evaluate screening data and support the identification and down-selection of promising small molecules for therapeutic product development.
• Perform self-directed exploration and analysis of phenotypic screening datasets using relevant R packages, spreadsheets, graphics, statistical programs, and other computational approaches.
• Apply computational and biological expertise to develop tools and approaches that improve integration of screening data with metadata associated with biological assays and chemical compounds.
• Analyze complex biological datasets to help identify patterns, relationships, and potential mechanistic bases for physiological and pathological responses to infection or therapeutic treatment.
• Communicate experimental data, laboratory issues, and other work-related matters to the appropriate point of contact and communicate with vendors regarding technical support and troubleshooting of laboratory equipment.
• Assist with reporting and communication of test results and prepare technical reports, standard operating procedures, manuscripts, and other scientific documentation.
• Prepare and provide the TPOC with a Biological Data Research Technical progress report no later than the last day of each month.
• Present research findings in written and oral formats at monthly laboratory meetings, scientific discussions, and at least one scientific conference per year, if required. Travel may include CONUS and/or OCONUS travel.
• Attend weekly scientific discussion meetings.
• Perform other duties as assigned.

Biological Data Computational Support (Computational Biologist I) Experience, Education, Skills, Abilities requested:

• Experience working with high-content imaging, high-throughput screening, phenotypic screening, biological assays, chemical compounds, or ADME data.
• Experience collecting, organizing, integrating, migrating, and managing biological, chemical, screening, imaging, experimental, and associated metadata.
• Experience assessing data requirements and identifying relevant fields and attributes to support the development of searchable databases.
• Experience working with Information Technology teams to support database development, configuration, data migration, or data management.
• Experience using R and relevant R packages, spreadsheets, graphics, statistical programs, and other computational methods to analyze complex biological datasets.
• Ability to independently explore and analyze phenotypic screening data and apply computational approaches to identify patterns, relationships, and potential mechanisms associated with infection or therapeutic treatment.
• Ability to develop computational tools and approaches that integrate screening data with biological assay and chemical compound metadata.
• Ability to apply analytical and reporting tools to support data-driven decisions, including the identification and down-selection of promising small molecules for therapeutic product development.
• Strong analytical, problem-solving, scientific writing, and communication skills, with the ability to communicate experimental data, technical findings, and work-related issues in written and oral formats.
• Ability to collaborate with laboratory scientists, Information Technology personnel, vendors, and other project stakeholders and provide appropriate technical communication and support.
• Ability to prepare technical reports, standard operating procedures, manuscripts, monthly technical progress reports, and scientific presentations.
• Ability to present research findings at laboratory meetings, scientific discussions, and scientific conferences, as required

Preferred Qualifications

• Experience developing or supporting searchable databases for biological, chemical, screening, imaging, or experimental data.
• Experience integrating biological, small-molecule chemical, assay, imaging, screening, and ADME data with associated metadata.
• Experience developing computational tools, workflows, analytical methods, or reporting approaches to support biological data integration and scientific decision-making.
• Experience using statistical programs, data visualization tools, spreadsheets, and R packages to analyze complex biological or phenotypic screening datasets.
• Experience supporting drug discovery, small-molecule screening, ADME analysis, therapeutic product development, or research involving biothreat agents.

Company Information:

Cherokee Nation Integrated Health (CNIH) is a part of Cherokee Federal – the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government’s mission with compassion and heart. To learn more about CNIH, visit cherokee-federal.com.

Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.

• Computational Biologist
• Biological Data Analyst
• Computational Biology Analyst
• Biological Data Scientist
• Biological Data Computational Support Specialist
• Biological Data Analysis
• High-Content Imaging
• High-Throughput Screening
• Phenotypic Screening
• Biological & Chemical Data Integration
• Database & Metadata Management
• R Programming & Statistical Analysis
• ADME Data Analysis
• Computational Tools & Data Integration
• Small-Molecule Drug Discovery
• Therapeutic Product Development
• Scientific Data Reporting

Legal Disclaimer:

Cherokee Federal is an equal opportunity employer. Please visit cherokee-federal.com/careers for information regarding our Affirmitive Action and Equal Opportunity Employer Statement, and Accommodation request.

Many of our job openings require access to government buildings or military installations. Candidates must pass pre-employment qualifications of Cherokee Federal.