Senior AI Scientist Drug Discovery & Computational Biology
•Today
| Verified Pay check_circle | Provided by the employer$80 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Santa Clara, CA 95054 Santa Clara, California open_in_new |
About this job
Job Description
Job Description
Position TitleSenior AI Scientist – Drug Discovery & Computational BiologyDomain EXPHealthcareLocationBoston, MA - HybridDurationC2CRate $80/Hr Indent ID PSL308177-2-1Must Have Drug Discovery & Computational BiologyJob DescriptionWe are seeking a highly skilled professional with deep expertise in applying Artificial Intelligence and Machine Learning to drug discovery and development. The ideal candidate will have experience in:
The candidate should demonstrate a strong track record of leveraging advanced computational approaches to accelerate therapeutic discovery and possess the ability to collaborate effectively with multidisciplinary research and development teams.
All candidate submissions should come with valid documents and ID proof.
Submission Matrix:Name of the candidateContact#Email IDLocationAvailabilityVisaRateSupplier NameParticularDetailsLinkedIn profile LinkPtalent Applicant idJob#Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months
Skill MatrixSkillYears of experience
- AI and machine learning methodologies for drug discovery, including predictive modeling, lead optimization, and translational research applications.
- Graph machine learning techniques for biological networks, molecular property prediction, target identification, and knowledge graph-based discovery.
- Virtual cell screening and AI-driven target discovery platforms, with particular focus on rare disease research and therapeutic innovation.
- AI-driven molecular design for small molecules and biologics (Abs/VHH), including toxicity prediction, off-target assessment, developability analysis, and candidate optimization.
- Structural biology, including protein structure analysis, molecular interactions, computational modeling, and integration of structural data into drug discovery workflows.
The candidate should demonstrate a strong track record of leveraging advanced computational approaches to accelerate therapeutic discovery and possess the ability to collaborate effectively with multidisciplinary research and development teams.
All candidate submissions should come with valid documents and ID proof.
Submission Matrix:Name of the candidateContact#Email IDLocationAvailabilityVisaRateSupplier NameParticularDetailsLinkedIn profile LinkPtalent Applicant idJob#Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months
Skill MatrixSkillYears of experience
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