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Remote Computer Aided Drug Design Jobs in Tulsa, OK

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory ... Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory ... Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience ...

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All JobsComputer Aided Drug Design JobsRemote Computer Aided Drug Design JobsRemote Computer Aided Drug Design Jobs in Tulsa, OK

Remote Computer Aided Drug Design information

What is a remote computer aided drug design?

A Remote Computer Aided Drug Design (CADD) job involves using computational tools and software to design, analyze, and optimize potential drug molecules from a remote location. Professionals in this role apply principles of chemistry, biology, and computer science to model molecular interactions and predict the efficacy of new compounds. This work is often part of early-stage drug discovery in pharmaceutical or biotechnology companies and allows scientists to collaborate virtually with teams around the world. Remote CADD jobs require strong technical skills in molecular modeling, structural biology, and data analysis, as well as effective communication for virtual teamwork.

What are the key skills and qualifications needed to thrive as a remote computer aided drug design professional?

To thrive as a Remote Computer Aided Drug Design professional, you need a strong background in computational chemistry, molecular modeling, and drug discovery, typically supported by a degree in chemistry, biochemistry, or a related field. Proficiency in software tools such as Schrodinger, MOE, AutoDock, and knowledge of programming languages like Python are commonly required. Strong problem-solving ability, effective communication, and a collaborative mindset are vital soft skills for remote teamwork and project advancement. These technical and interpersonal skills are essential for accelerating drug discovery while ensuring seamless collaboration in a virtual environment.

What are some common challenges faced by professionals working in remote computer aided drug design roles, and how can they be addressed?

One common challenge in remote Computer Aided Drug Design (CADD) roles is effective communication and collaboration with multidisciplinary teams, as projects often require input from chemists, biologists, and data scientists. To address this, professionals should leverage collaborative software platforms and schedule regular virtual meetings to ensure alignment and rapid feedback. Additionally, managing secure access to sensitive data and high-performance computing resources can require proactive coordination with IT departments. Staying organized and maintaining detailed documentation are also crucial to keep projects on track while working remotely.

What is the difference between Remote Computer Aided Drug Design vs Remote Medicinal Chemist?

AspectRemote Computer Aided Drug DesignRemote Medicinal Chemist
Required CredentialsDegree in Chemistry, Bioinformatics, or related field; knowledge of molecular modeling softwareDegree in Chemistry or Pharmaceutical Sciences; experience in chemical synthesis and drug development
Work EnvironmentPrimarily computer-based, collaborative with research teamsLaboratory and office settings, with some remote data analysis
Industry UsagePharmaceutical and biotech companies, research institutionsPharmaceutical companies, research labs, biotech firms

Remote Computer Aided Drug Design focuses on using computational tools to identify and optimize drug candidates, often working remotely with data and modeling software. In contrast, Remote Medicinal Chemists combine computational work with laboratory synthesis and testing, typically requiring lab access. Both roles are vital in drug development but differ in their hands-on versus software-based approaches.

What are popular job titles related to Remote Computer Aided Drug Design jobs in Tulsa, OK?

For Remote Computer Aided Drug Design jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Remote Computer Aided Drug Design jobs in Tulsa, OK look for?

The top searched job categories for Remote Computer Aided Drug Design jobs in Tulsa, OK are:

Remote Computer Aided Drug Design jobs near you

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • Remote

$108K - $147K/yr

Full-time

Re-posted 21 days ago

Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement — you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organization’s BI and reporting tool.
Required Skills and Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.
 

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