Schrödinger

Computational drug discovery software
Last updated:
February 2, 2026
Company details
HQ
HEADCOUNT
500-999
ORG TYPE
Corporate
SECTOR
Healthcare & Life Sciences
About the company
Schrödinger is a computational chemistry and materials science company best known for physics-based modeling software used across drug discovery and materials R and D. The company also runs an internal therapeutics group, using the same platform to advance proprietary and partnered drug programs. Schrödinger is publicly listed (Nasdaq: SDGR) and hires across scientific, software, and customer-facing applications roles. Day-to-day work tends to sit at the intersection of scientific depth and production-grade software.
Locations and presence
Schrödinger is headquartered in New York City, with additional US offices including Cambridge (MA), San Diego, and Portland. Schrödinger also lists non-US offices including Hyderabad (India), Tokyo (Japan), and locations in Germany such as Mannheim and Munich.
Palpable Score
63.7
/ 100
Schrödinger is a credible early-career option when internships are open, with real technical work and some thoughtful inclusion-focused events aimed at people at the start of their careers. The main constraint is volume: the live job board skews experienced, and Schrödinger does not publish early-career outcome stats like intern conversion or time-to-promotion.
Pillar 1: Early-career access

Score

11.0
/ 20
  • The company has run undergraduate-facing software development internships with entry-level eligibility language in prior summer postings.
  • Schrödinger has also advertised intern roles in Hyderabad for scientific software development, which opens access beyond the US hubs when those roles appear.
  • The company’s current public job board is dominated by senior and specialist roles, with very few 0–3 year titles visible at the same time.
Pillar 2: Hiring fairness and transparency

Score

13.3
/ 20
  • The company states the hiring team uses a standardized interviewing model to reduce unconscious bias and make the process more consistent across openings.
  • Schrödinger interview accounts for technical and scientific roles commonly include multi-stage structures like screens, a presentation, and several 1:1 interviews, which at least sets predictable expectations once a candidate is in process.
  • The company also has public interview feedback pointing to longer timelines and uneven pacing, which is tougher on early-career candidates juggling deadlines and other offers.
Pillar 3: Learning and support

Score

14.0
/ 20
  • The company funds employee resource groups and runs inclusion programming that includes events targeted at women and non-binary engineers who are early in their careers, combining coding time with networking.
  • Schrödinger supports structured learning through education-led workshops and also offers scholarships for online certification courses for eligible students and postdocs, which is a concrete “learning budget” mechanism.
  • The company does not publish a junior-specific ramp plan or mentorship standard on the careers site, so the day-to-day coaching quality still looks team-dependent from the outside.
Pillar 4: Pay fairness and stability

Score

13.7
/ 20
  • The company lists stability benefits that matter for early-career hires, including 401(k) matching, equity participation, health and welfare benefits, and access to mental health and family care benefits for US employees.
  • Schrödinger describes competitive pay plus over a month of paid vacation, which is a strong baseline benefits signal compared with many science-software employers.
  • The company does not consistently publish salary ranges on the central job board, which limits pay transparency for junior candidates comparing options.
Pillar 5: Early-career outcomes

Score

11.7
/ 20
  • The company reports a high overall employee retention rate (93.1% for 2023), which is a meaningful stability signal even though it is not broken out by early-career cohorts.
  • Schrödinger has mixed employee sentiment in public reviews, including role-specific concerns in at least one office that suggest uneven team-level experience, which can affect early-career growth and confidence.
  • The company has individual internship reflections on LinkedIn describing concrete skill growth and real feature work, but public sources still lack cohort outcomes like intern-to-offer rate, typical time-to-promotion, or 12–24 month early-career retention.
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