Is Insilico Medicine hiring bioinformaticians?

Insilico Medicine currently has 0 open positions in bioinformatics and computational biology. Visit our Insilico Medicine careers page to see all available roles.

What tech stack does Insilico Medicine use?

Insilico Medicine uses technologies including Python, PyTorch, Julia and tools like .

Where is Insilico Medicine headquartered?

Insilico Medicine is headquartered in Hong Kong (US offices in NYC, Boston). The company has 400+ employees and was founded in 2014.

Home
/
Companies
/
Insilico Medicine

Insilico Medicine

Q: What is the interview process at Insilico Medicine?

HR Screen. Technical Interview. Hiring Manager Discussion.

AI for Drug Discovery and Aging Research

Hong Kong (US offices in NYC, Boston)

400+

View Open Jobs Visit Website →

About Insilico Medicine

Industry: AI Drug Discovery

Founded: 2014

Founders: Alex Zhavoronkov

Status: Private

Funding & Growth

Total Raised: $400M+

Valuation: $1B+

Stage: Series D

Key Investors:

Warburg Pincus Qiming Venture Partners B Capital

✓ Pros

• Pioneer in generative AI for drug discovery
• Fast-moving clinical programs
• Publications and visibility
• Global team
• Aging research focus

✗ Cons

• Distributed team (timezone challenges)
• Startup culture intensity
• Hong Kong HQ complications
• High expectations

Open Positions (0)

No open positions right now

Check back later or visit their careers page

Visit Careers Page →

Hiring Signals

Open roles from our DB joined with public DOL H1B LCA filings (FY2026 Q1, Oct–Dec 2025).

ℹ️

Salary & hiring signal, not a forecast. Use these figures as a reference for recent compensation bands and H1B-sponsorship activity at Insilico Medicine — they don't predict future H1B willingness or guarantee similar wages on new offers.

Scope: H1B LCA filings cover all roles at Insilico Medicine (engineering, science, IT, etc.) — not bioinformatics-only. At biotech & pharma companies the mix skews toward R&D and computational roles, but treat the wage distribution as the company's overall H1B band rather than a strict comp-bio benchmark.

Open Roles (Live)

No public openings right now in our index. Could mean a hiring freeze, a sourcing-only phase, or simply that current roles aren't on the channels we aggregate — check the H1B and trial signals below for additional context.

No H1B LCA data available for Insilico Medicine in Q1 2026 (may not have filed petitions, or filings didn't match bioinformatics SOC codes).

Quarter-over-quarter trend

Historical H1B trend chart coming — backfilling Q2/Q3/Q4 2025 LCA data.

Clinical-trial portfolio

No primary trial sponsorship data for Insilico Medicine (likely a diagnostics or platform company rather than a trial sponsor).

Sources: DOL OFLC LCA Disclosure Data (public), ClinicalTrials.gov-derived sponsor analytics powered by TheraRadar, live job listings from this site.

Salary Ranges by Level

Too few Insilico Medicine postings on CompBioJobs disclose pay to show reliable salary figures yet.

Interview Process

⚠️

Disclaimer: Interview processes are approximate and may vary by role, level, team, and time. This information is based on public reports and may be outdated.

Interview processes change frequently — always verify with current candidates or recruiters.

HR Screen

Technical Interview

Hiring Manager Discussion

Team Interviews

Leadership Final Round

📚 Verify & Prepare

Get detailed interview experiences from people who actually interviewed:

G Glassdoor → L Levels.fyi → in LinkedIn → R Reddit →

💡 Interview Tips

• Practice data structures and algorithms on LeetCode/HackerRank
• Study system design concepts for senior roles
• Research Insilico Medicine's products and tech stack
• Prepare behavioral questions using the STAR method

Was this information accurate?

Help us improve by sharing your interview experience at Insilico Medicine.

✎ Share your experience

Thank you for your feedback! We'll review and update the information.

Technology Stack

languages

Python PyTorch Julia

bioinformatics

Generative AI Target discovery Molecular generation

cloud

AWS GCP

data

Neo4j PostgreSQL MongoDB