Position: Founding Technical Lead

Engagement: Founding Team Member

Compensation: Equity-based

Salary: No salary. This is an equity-only founding opportunity.

Company Stage: Early-stage Deep-Tech / Biotechnology Research Startup

About the Opportunity

We are building a deep-tech research company focused on developing advanced artificial gestation technologies, including artificial womb and artificial placenta systems.

Our vision is to advance research in artificial gestation by combining computational biology, artificial intelligence, quantum computing, biomedical engineering, advanced materials and scientific simulation.

We aim to build computational models, proprietary algorithms, research platforms and eventually physical prototypes that could contribute to the development of artificial womb and artificial placenta technologies.

We are looking for a technically robust founding team member who will take ownership of the entire technology and engineering function.

This is an opportunity to join at the founding stage, lead technology development from the ground up and help build a potentially transformative deep-tech research organisation.

Important: This is an equity-based founding position with no fixed salary or monthly compensation. The selected candidate will receive an equity stake in the company, subject to mutually agreed terms and formal legal documentation.

Role Overview The Founding Technical Lead will be responsible for defining, building and leading the company's complete technical architecture and development roadmap.

You will work closely with the founder, scientific researchers, engineers and domain specialists to translate scientific research objectives into computational systems, software platforms, algorithms and engineering prototypes.

You will lead the technical team and determine how AI, quantum computing, computational biology and biomedical engineering can be integrated to advance artificial gestation research.

You will have significant ownership over technical decisions, research infrastructure, technology selection, engineering standards and product development.

Key Responsibilities

- Technology Strategy and Architecture

- Define the overall technology architecture and long-term technical roadmap.
- Establish the technical foundation for artificial womb and artificial placenta research.
- Identify the computational, engineering and software infrastructure required.
- Evaluate emerging technologies, frameworks, tools and scientific computing platforms.
- Translate scientific requirements into technical development plans.
- Establish scalable and modular research and development infrastructure.

2. Artificial Womb and Artificial Placenta Technology
- Lead the technical development of computational models for artificial gestational environments.
- Oversee simulation systems for temperature, fluid dynamics, pressure and environmental regulation.
- Lead the development of artificial placenta modelling systems.
- Explore computational approaches for oxygen exchange, circulation, nutrient transport and waste removal.
- Coordinate the development of digital prototypes and engineering simulations.
- Work with biomedical engineers and scientific researchers to translate research findings into technical solutions.

3. Artificial Intelligence and Computational Biology
- Lead the development of AI-based scientific research systems.
- Build computational models for selected biological and physiological processes.




- Explore machine learning applications in developmental biology.
- Develop systems for scientific data processing, analysis and interpretation.
- Establish infrastructure for scientific datasets, research databases and computational experiments.
- Explore digital twin technologies for biological and physiological modelling.

4. Quantum Computing and Advanced Computing
- Lead the exploration of quantum computing applications in molecular simulation and materials research.
- Evaluate existing quantum computing platforms and cloud-based quantum hardware.
- Develop and experiment with quantum algorithms for relevant scientific problems.
- Explore quantum chemistry and quantum optimisation techniques.
- Identify research problems where quantum computing may provide a measurable advantage over classical computing.
- Establish a long-term technical roadmap for potential in-house quantum computing hardware research.

5. Software and Platform Development
- Architect and oversee the development of proprietary research platforms.
- Develop simulation environments and scientific computing tools.
- Establish APIs, backend systems, databases and computational infrastructure.
- Lead software engineering standards, code reviews and technical documentation.
- Ensure research platforms are reliable, secure, scalable and maintainable.
- Identify opportunities to commercialise internally developed software and technology.

6. Technical Team Leadership
- Build and lead the company's technical development team.
- Identify and recruit AI developers, software engineers, quantum computing researchers and computational scientists.
- Allocate technical responsibilities and establish development priorities.
- Coordinate interdisciplinary research and engineering teams.
- Mentor technical contributors and establish a culture of scientific experimentation.
- Work with the founder to define technical hiring and resource requirements.

7. Research, Innovation and Intellectual Property
- Identify promising research opportunities and emerging technologies.
- Collaborate with scientific researchers and academic institutions.
- Translate scientific publications and research findings into technical experiments.
- Encourage the development of proprietary algorithms, software and engineering designs.
- Maintain technical documentation and research records.
- Identify opportunities for patent applications and intellectual property development.

8. Technical Execution and Milestones
- Convert the company's research vision into achievable technical milestones.
- Establish development priorities and execution plans.
- Oversee proof-of-concept development and prototype demonstrations.
- Evaluate technical feasibility, performance and limitations.
- Present regular technical progress reports to the founder.
- Ensure that technical claims are supported by evidence and validated research.

Required Technical Expertise

We are looking for someone with a strong background in one or more of the following areas:

- Computer Science and Engineering.
- Artificial Intelligence and Machine Learning.




- Computational Biology or Bioinformatics.
- Quantum Computing and Quantum Algorithms.
- Biomedical Engineering.
- Scientific Computing and Numerical Simulation.
- Computational Physics.
- High-Performance Computing.
- Software Architecture and Systems Engineering.

A degree in Computer Science, Engineering, Physics, Mathematics, Biomedical Engineering or a related discipline is desirable.

A postgraduate qualification or research experience in a relevant technical field would be an advantage.

Technical Skills

Candidates should ideally have experience with several of the following:

Programming and Engineering

- Python, C++, Rust or similar programming languages.
- Backend architecture and API development.
- Scientific computing and numerical methods.
- Cloud infrastructure and high-performance computing.
- Data engineering and database architecture.

Artificial Intelligence

- Machine learning and deep learning.
- Scientific machine learning.
- Neural networks and predictive modelling.
- AI-based simulation and optimisation.

Quantum Computing

- Quantum algorithms and quantum circuits.
- Qiskit, PennyLane, Cirq or equivalent frameworks.
- Quantum simulation and quantum chemistry.
- Familiarity with existing quantum hardware platforms.

Scientific and Biomedical Computing

- Computational fluid dynamics.
- Mathematical modelling.
- Molecular simulation.
- Bioinformatics.
- Digital twins and physical simulation.

Leadership Expectations The selected candidate will:

- Own technical strategy and execution.
- Lead the development of all technical products and research platforms.
- Build and manage the technical founding team.
- Make key technical architecture and infrastructure decisions.
- Work directly with the founder on company strategy and research priorities.
- Represent the company's technical capabilities in scientific and institutional collaborations.

We are looking for someone who is genuinely interested in building a long-term deep-tech research venture rather than joining for a conventional salaried position.

What We Are Looking For

We are particularly interested in individuals who:

- Have a strong technical foundation and an experimental mindset.
- Can independently research and understand complex scientific and technological problems.
- Are comfortable working across multiple technical disciplines.
- Can convert ambitious research objectives into practical development roadmaps.
- Have the ability to build technology from the ground up.
- Can lead a multidisciplinary engineering team.
- Are interested in quantum computing, biotechnology, artificial intelligence and advanced medical technologies.
- Are willing to take ownership and contribute as a founding team member.

Previous startup experience, research publications, open-source contributions, technical prototypes or significant independent projects will be advantageous.

Why Join?

- Become part of a founding team working on an ambitious deep-tech research mission.
- Lead the development of an entirely new technology ecosystem.
- Build proprietary technologies and intellectual property.
- Work across artificial intelligence, quantum computing and biomedical engineering.
- Establish and lead the company's complete technical function.
- Participate in the company's ownership through equity.

We are looking for a founding technical leader who can turn an ambitious scientific vision into a long-term technology development programme.

Work Location: Remote

📌 Founding Technical Lead – Artificial Gestation Technologies (India)
🏢 IndianThing
📍 India