Job Title: Scientific Programmer
Location: Remote
Duration: 12+ months
Location: Remote
Duration: 12+ months
Company Overview:
Pulivarthi Group is a premier global provider of staffing and IT technology solutions, renowned for delivering exceptional services tailored to each client's unique needs. With a steadfast commitment to excellence, we merge expertise with innovation, ensuring cost-effective solutions of the highest quality. Our diverse client base spans healthcare, finance, government, and beyond, reflecting our adaptability and proficiency across industries. Operating in the United States, Canada, and Mexico, we pride ourselves on aligning with clients' cultures, deploying top-tier talent, and utilizing cutting-edge technologies. Pulivarthi Group stands as a beacon of reliability, efficiency, and innovation in the realm of staffing solutions.
Pulivarthi Group is a premier global provider of staffing and IT technology solutions, renowned for delivering exceptional services tailored to each client's unique needs. With a steadfast commitment to excellence, we merge expertise with innovation, ensuring cost-effective solutions of the highest quality. Our diverse client base spans healthcare, finance, government, and beyond, reflecting our adaptability and proficiency across industries. Operating in the United States, Canada, and Mexico, we pride ourselves on aligning with clients' cultures, deploying top-tier talent, and utilizing cutting-edge technologies. Pulivarthi Group stands as a beacon of reliability, efficiency, and innovation in the realm of staffing solutions.
Job Overview/Summary:
We are seeking an experienced Scientific Programmer for a remote position estimated to last up to 12+ months. The role involves working closely with client project teams to ensure the successful design and delivery of a Multiscale Machine-Learned Modeling Infrastructure (MuMMI) framework using AWS high-performance computing infrastructure.
We are seeking an experienced Scientific Programmer for a remote position estimated to last up to 12+ months. The role involves working closely with client project teams to ensure the successful design and delivery of a Multiscale Machine-Learned Modeling Infrastructure (MuMMI) framework using AWS high-performance computing infrastructure.
Responsibilities:
Collaborate with client project teams to provide functional, technical, and industry expertise.
Support the implementation of the MuMMI framework to explore interactions between lipids and proteins over large length and time scales.
Use cloud computing technology and computer science to study and find solutions in the area of biology.
Propose and implement novel bioinformatics analysis strategies adapted to analytical needs.
Work closely with the AWS HPC team to implement the code developed on a supercomputer in the AWS cloud environment.
Ensure the effective transfer and adaptation of existing code to the cloud environment.
Collaborate with client project teams to provide functional, technical, and industry expertise.
Support the implementation of the MuMMI framework to explore interactions between lipids and proteins over large length and time scales.
Use cloud computing technology and computer science to study and find solutions in the area of biology.
Propose and implement novel bioinformatics analysis strategies adapted to analytical needs.
Work closely with the AWS HPC team to implement the code developed on a supercomputer in the AWS cloud environment.
Ensure the effective transfer and adaptation of existing code to the cloud environment.
Primary Skills:
Bachelor's degree in Computer Science, Biology, Bioinformatics, or a related field (flexible with years of experience).
At least 5 years of experience in a relevant field.
Working knowledge of protein folding, molecular dynamics, and experience in the lab/pharmaceutical field.
Experience with cloud computing technology, particularly AWS high-performance computing.
Proficiency in implementing and adapting bioinformatics analysis strategies.
Strong collaboration and communication skills to work effectively with project teams and AWS HPC members.
Bachelor's degree in Computer Science, Biology, Bioinformatics, or a related field (flexible with years of experience).
At least 5 years of experience in a relevant field.
Working knowledge of protein folding, molecular dynamics, and experience in the lab/pharmaceutical field.
Experience with cloud computing technology, particularly AWS high-performance computing.
Proficiency in implementing and adapting bioinformatics analysis strategies.
Strong collaboration and communication skills to work effectively with project teams and AWS HPC members.
Secondary Skills (Good to Have):
PhD in microbiology, biology, health informatics, or a related topic area.
PhD in microbiology, biology, health informatics, or a related topic area.
Qualifications:
Proven experience in scientific programming and cloud computing technology.
Strong background in bioinformatics and computational biology.
Demonstrated ability to implement and adapt complex computational frameworks.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a collaborative team.
Strong written and verbal communication skills.
Proven experience in scientific programming and cloud computing technology.
Strong background in bioinformatics and computational biology.
Demonstrated ability to implement and adapt complex computational frameworks.
Excellent problem-solving and analytical skills.
Ability to work independently and as part of a collaborative team.
Strong written and verbal communication skills.
Equal Opportunity Statement:
Pulivarthi Group is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.
Pulivarthi Group is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.
