Job Title: Scientific Software Engineer (Python)

Duration: 6 Months

Location: South San Francisco, CA, USA

Pay Range: $39.91 - $83.74 per hour

Intelliswift Software Inc. conceptualizes, builds, and supports the world's most amazing technology products and solutions. Our team of rich experts from diverse backgrounds contributes to making Intelliswift one of the most reliable partners in IT and Talent solutions. We specialize in delivering world-class Digital Product Engineering, Data Management and Analytics, and Staffing Solutions services to Fortune companies, SMBs, ISVs, and fast-growing startups.

Description of responsibilities:

The Role
Work as a scientific software engineer to implement python-based workflows for cheminformatics and computational chemistry tasks to support our Lab-in-the-Loop efforts for small molecule drug discovery.
Use software best practices (version control, testing, modular code development, documentation, etc.) to collaborate on a large codebase with our team of methods developers.
Deploy workflows on HPC and cloud platforms and deliver user-friendly web-based interfaces to medicinal chemists across gRED and Client.
Benchmark and deploy new machine learning techniques for small molecule potency prediction.

Desired Qualifications
BS, MS, or PhD degree in a computational field (e.g. Computer Science, Engineering or related field) with 1+ years of industry experience.
Expert in Python and experience with scientific software development.
Experience with deploying software workflows on cloud and HPC platforms.
Experience working on collaborative code bases, including merge requests, code review, writing tests etc.
Highly-motivated and independent self starter that is eager to collaborate.
Excellent communication and interpersonal skills.
Basic understanding of modern machine learning methods including predictive models, generative models, and active learning as applied to small molecule drug discovery.

Additional Qualifications
Candidates may additionally have, but are not required to have:
Public portfolio of projects available on GitHub.
Experience with RDKit or OpenEye Toolkits.
3+ years of industry experience.
Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data.
Demonstrated experience with modern Python frameworks for deep learning like PyTorch.
Experience deploying microservices on kubernetes.
Experience with workflow engines such as Apache Airflow or Dagster.

Intelliswift is committed to fair and equitable compensation practices. The range provided for this position is determined by various factors including, but not limited to, relevant work experience, skills, certifications, and location. Intelliswift offers medical insurance, dental insurance, vision insurance, supplemental life and AD&D insurance, and any other benefits per state law.

Equal Employment Opportunity Statement Intelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law.

Americans with Disabilities Act (ADA)

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department

Other Employment Statements
Intelliswift participates in the E-Verify program.

Learn More For information on Intelliswift Software, Inc., visit our website at .