Scrum Master at statsby.ai (Pune, India)

statsby.ai· Pune, India·6d ago

Role details

Work type

Onsite

Employment

Full-Time

Job description

We're looking for a Scrum Master who keeps projects moving, people aligned, and blockers out of the way.

What you'll do:

What we're looking for:

Work from Office - Pune

Culture: Strong emphasis on blending human ingenuity with advanced AI; described as a team of "passionate problem solvers and innovators" committed to pushing the boundaries of technology in a high-stakes industry.
Work Environment: Hybrid workspace based in Pune, India. Employees engage in a combination of remote and on-site work.
Team: Very small team (~9 people) — offers significant ownership and impact for early employees. Technical staff makes up 56% of the team.
Reviews: Rated 5.0/5.0 on LinkedIn (2 reviews) with perfect scores in Work-Life (4.5), Compensation (5.0), Culture (5.0), and Career (5.0).
Engineering Focus: Opportunity to work at the intersection of clinical science, AI, and regulated software engineering — a niche with high barriers to entry and strong career value. Tech stack includes Databricks, Scala, AWS Lambda, Apache Spark, Python, Power BI, Microsoft Azure, Kubernetes, Snowflake, and React.

One-liner: Statsby Solutions is a pharma-native AI and data company that builds purpose-built platforms and provides consulting services to help pharmaceutical sponsors, biotechs, and CROs handle high-stakes clinical data and documentation in regulated environments.
Entity Type: Private (Bootstrapped/Service-based)
Headquarters: Pune, India
Founded: 2022
Founders: Atul Pundhir (Co-Founder), Abhishek Kumar Mishra (Co-Founder & Chief Revenue Officer)

Primary industry: Pharmaceutical AI, Clinical Data Engineering, and Regulated AI/ML
Target customers: Pharma sponsors, biotechs, and Clinical Research Organizations (CROs)
Mission/Purpose: To create innovative solutions that empower organizations to harness their data, turning insights into action for greater efficiency, adaptability, and growth — with a focus on blending deep domain expertise with AI engineered for regulated environments where auditability, traceability, and scientific rigor are the baseline.

Revectra: AI-powered Protocol-to-Platform Intelligence. Digitizes clinical trial protocols (new and legacy) into structured, version-controlled CDISC USDM 4.0 study definitions, exposes them via API, and generates downstream documents grounded in proprietary data, deployed on the client's cloud.
Veractra: AI-powered Clinical Study Report (CSR) generation. Produces ICH E3-compliant CSRs in days, featuring multi-stage numerical verification against source TLFs and sentence-level traceability, deployed entirely within the client's cloud environment.
Data & AI Consulting: End-to-end services including Clinical Data Platforms & Engineering (CDISC-aligned, GxP-ready cloud-native lakehouse architectures), Generative AI for Clinical Workflows (RAG systems, knowledge assistants, document automation), Agentic AI & Intelligent Automation (multi-agent systems for study start-up, PV case processing, submission assembly), and MLOps & Responsible AI (building auditable, compliant AI backbones for regulated environments).

Valuation/Funding: Not publicly available (appears bootstrapped / service-funded)
Key Metric: Small, specialized team of 9 employees (as of latest data)
Notable Clients/Partners: Works with pharma sponsors, biotechs, and CROs; talent sourced from companies like Juniper Networks, Deloitte, Saama, Altair, and Triomics.
Growth Signals: -10% monthly headcount growth (likely reflects natural churn in a small consultancy); strong focus on deep regulatory compliance (GxP, ICH E6(R3), 21 CFR Part 11, FDA/EMA expectations) as a core differentiator; developing proprietary platforms (Revectra, Veractra) alongside consulting to scale impact.

Pharma-native specialization: Entirely focused on the pharmaceutical and clinical research industry, not a generalist AI consultancy.
Regulatory engineering from day one: Every platform is architected for GxP, ICH E6(R3), 21 CFR Part 11, and FDA/EMA expectations from the first architecture diagram — ensuring audit readiness and data provenance.
Verification-first AI: Veractra's multi-stage numerical verification against source TLFs and sentence-level traceability is a key differentiator for high-stakes regulatory document generation.
Deployment flexibility: All platforms are designed to be deployed entirely within the client's cloud environment, meeting enterprise security and compliance requirements.

Deepening the "pharma-native" brand by building proprietary, purpose-built platforms (Revectra, Veractra) that move beyond consulting to product-led growth.
Expanding agentic AI capabilities for specific clinical workflows (study start-up, PV case processing, submission assembly, protocol deviation management).
Maintaining a "production-grade, regulated-first" engineering standard as the core value proposition.
Building long-term client relationships with a focus on what's running in the client's environment six months after delivery.

Sources