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Director Bioinformatics Software Engineer Jobs in Charleston, SC

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Software Subcategory: SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time ... Direct experience supporting an ATO package (SSP development, control implementation, POA&M ...

Software Subcategory: SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time ... Direct experience supporting an ATO package (SSP development, control implementation, POA&M ...

Description SAIC is seeking a Software Engineer to own full stack development and technical ... Direct experience supporting an ATO package (SSP development, control implementation, POA&M ...

Senior Software Engineer

Charleston, SC · On-site

$114K - $151K/yr

Direct experience preparing and presenting technical reports * Experience with simulation software like (MATLAB/Simulink), and potentially programming languages like C++ or Python. * Proven (R&D) ...

Senior Software Engineer

Charleston, SC · On-site

$114K - $151K/yr

... Direct experience preparing and presenting technical reports • Experience with simulation software like (MATLAB/Simulink), and potentially programming languages like C++ or Python. • Proven (R&D) ...

Lead Engineer, AI Attack Simulation

Charleston, SC · On-site +1

$95K - $126K/yr

The ideal candidate combines deep software engineering experience, cybersecurity expertise, agentic ... Direct experience with breach and attack simulation, adversary emulation, attack-path validation ...

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Director Bioinformatics Software Engineer information

See Charleston, SC salary details

$40.2K

$122.6K

$223.2K

How much do director bioinformatics software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for director bioinformatics software engineer in Charleston, SC is $122,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,800.00 and $146,900.00 per year, depending on experience, location, and employer.

What is the difference between Director Bioinformatics Software Engineer vs Bioinformatics Software Engineer?

AspectDirector Bioinformatics Software EngineerBioinformatics Software Engineer
CredentialsBachelor's/Master's/PhD in Bioinformatics, Computer Science, or related; extensive experienceBachelor's/Master's in Bioinformatics, Computer Science, or related; relevant experience
Work EnvironmentLeadership role overseeing teams, strategic planning, project managementDeveloping software, analyzing data, coding, collaborating with teams
Employer & Industry UsageBiotech, pharma, research institutions, biotech startupsResearch labs, biotech companies, healthcare, academia

The main difference between a Director Bioinformatics Software Engineer and a Bioinformatics Software Engineer lies in their responsibilities and seniority. The director oversees teams, manages projects, and sets strategic goals, while the software engineer focuses on coding, data analysis, and software development. Both roles require strong bioinformatics and programming skills, but the director's role is more leadership-oriented.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Charleston, SC?

The most popular types of Bioinformatics Software Engineer jobs in Charleston, SC are:

What are popular job titles related to Director Bioinformatics Software Engineer jobs in Charleston, SC?

For Director Bioinformatics Software Engineer jobs in Charleston, SC, the most frequently searched job titles are:

What job categories do people searching Director Bioinformatics Software Engineer jobs in Charleston, SC look for?

The top searched job categories for Director Bioinformatics Software Engineer jobs in Charleston, SC are:

Bioinformatics Software Engineer

micro1 AI

North Charleston, SC • Remote

$80 - $110/hr

Part-time

Posted 16 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.