Senior AI Scientist Drug Discovery & Computational Biology
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Overview
Remote
On-site
Compensation
$80-$80/hour
Job Description
| Position Title | Senior AI Scientist – Drug Discovery & Computational Biology |
| Domain EXP | Healthcare |
| Location | Boston, MA - Hybrid |
| Duration | C2C |
| Rate | $80/Hr |
| Indent ID | PSL308177-2-1 |
| Must Have | Drug Discovery & Computational Biology |
| Job Description | |
We 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:
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| Name of the candidate | Contact# | Email ID | Location | Availability | Visa | Rate | Supplier Name |
| Particular | Details |
| LinkedIn profile Link | |
| Ptalent Applicant id | |
| Job# | |
| Profile uploaded against which Indent: | |
| Relocation | |
| ETA for relocation post pandemic | |
| Educational qualification (along with Year of passing and university details) | |
| Video / In-person interview availability (Yes/No) | |
| Currently on Project | |
| Any Certification | |
| Interviewed with Persistent in past 3 months |
| Skill | Years of experience |
Automate your job search with Sonara.
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FAQs About Senior AI Scientist Drug Discovery & Computational Biology Jobs at PeopleNTech LLC
What is the work location for this position at PeopleNTech LLC?
This job at PeopleNTech LLC is located in Santa Clara, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at PeopleNTech LLC?
Candidates can expect a pay range of $80–$80 per hour for this role.
What employment applies to this position at PeopleNTech LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at PeopleNTech LLC?
You can apply for this role at PeopleNTech LLC either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.