INFOPARK

Computational Medicinal Chemist – Drug Discovery

Job Description

We are seeking a Computational Medicinal Chemist to support drug discovery programs. The candidate will focus on in silico design, optimization, and evaluation of small molecules, integrating insights from structural biology and bioinformatics to accelerate lead identification and optimization.

Key Responsibilities:

Apply RDKit for cheminformatics and use ADMET prediction tools to guide compound selection.
Analyze SAR (structure-activity relationships) and prioritize compounds using QSAR/QSPR modeling.
Design and optimize small molecules using computational approaches.
Collaborate with structural biologists and bioinformaticians to interpret protein-ligand interactions.
Develop and maintain computational pipelines and workflows for drug discovery projects.
Qualifications:

Master’s or Ph.D. in Computational Chemistry, Medicinal Chemistry, organic chemistry or a related field.
2–5 years of experience in computational medicinal or organic chemistry for drug discovery.
Skills in molecular modelling software docking, and virtual screening.
Preferred Skills:

Knowledge of cheminformatics, drug-likeness, and ADMET prediction. Experience in multi-disciplinary computational drug discovery projects. Experience with ML/AI-assisted drug design.

Business Analyst

Key Responsibilities:

· Engage directly with clients to gather, document, and analyze business requirements.

· Translate business needs into functional specifications and user stories.

· Facilitate workshops, interviews, and meetings with stakeholders.

· Collaborate with cross-functional teams (product, engineering, QA) to ensure successful delivery of solutions.

· Assist in preparing project documentation, proposals, and reports.

· Support user acceptance testing (UAT) and ensure solutions meet client expectations.

· Identify gaps, inefficiencies, and opportunities for process improvement.



Requirements
Qualifications:

· Bachelor’s degree in Business, IT, or related field (MBA preferred).

· 2–5 years of experience as a Business Analyst, preferably in a client-facing role.

· Excellent communication and interpersonal skills.

· Strong analytical and problem-solving abilities.

· Familiarity with tools like JIRA, Confluence, MS Office, or similar.

· Understanding of software development lifecycle (SDLC) and agile methodologies.

· Agile Product Owner certification or understanding

Preferred Skills:

· Experience in [Industry – e.g., FinTech, HealthTech, SaaS].

· Knowledge of data visualization or BI tools (e.g., Tableau, Power BI).

· Exposure to CRM, ERP, Healthcare or custom enterprise solutions.

· Exposure to wireframing and prototype design

Exposure AI Tools

Computational Research Scientist – Deep Learning

Job Description

Position Overview
We are seeking a passionate and highly skilled Computational Research Scientist specializing in deep learning to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.

Key Responsibilities
Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.

Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.

Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.

Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.

Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.

Required Qualifications
Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.

Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.

Proficiency in programming languages including Python (preferred), R, or MATLAB.

Strong written and verbal communication skills.

Proven ability to work independently and collaboratively in a dynamic research environment.

Preferred Qualifications
Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.

Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).

Experience with protein structure prediction and modeling.

Background in industrial biotechnology or experience working in start-up environments.

Desired Working Style
Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.

Quick learner with a proactive, inquisitive mindset.

Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.

Strong collaborator with excellent interpersonal and communication skills.

Commitment to high standards of scientific integrity and professional ethics.

AI & Data Platform Architect

Job Description

Role Summary

We’re looking for a hands-on AI & Data Platform Architect to design and build a scalable, secure, and modular platform that powers AI research in healthcare. You’ll lead the technical architecture for training and deploying models on complex biomedical data, helping shape the future of AI in life sciences.

Key Responsibilities

Design and build a scalable AI/ML platform to support data pipelines, model training, and deployment.
Work with large, diverse biomedical datasets (clinical, genomic, proteomic, chemical).
Build secure, cloud-native infrastructure using containers and APIs.
Implement and scale foundation models, knowledge graphs, and embeddings.
Ensure compliance with security and privacy standards (e.g., HIPAA, SOC2).
Collaborate with cross-functional teams (data scientists, clinicians, engineers).
Mentor engineers and set best practices for ML platforms and MLOps.
Required Skills & Experience

Master’s or PhD in Computer Science, AI/ML, or related field.
10+ years in AI platform or infrastructure roles.
Strong experience with Python, ML frameworks (PyTorch, TensorFlow), and cloud platforms (AWS, GCP, Azure).
Experience with distributed systems, MLOps, and tools like MLFlow, Kubeflow, Databricks.
Familiar with GPUs, performance optimization, and data security practices.
Nice to Have

Background in life sciences or biomedical data (genomics, proteomics, EHRs).
Familiarity with drug discovery workflows and generative AI tools like LangChain or Hugging Face.
Knowledge of bioinformatics databases and ontologies.
What We Offer

Chance to shape a cutting-edge AI platform in a mission-driven startup.
Equity and growth opportunities in a fast-moving team.
Budget for learning and experimentation with AI/cloud tools.

Pre-Sales Executive

Job Description

Role Summary:

We are looking for a proactive and detail-oriented Pre-Sales Executive with at least 1 year of relevant experience to join our dynamic sales team. The ideal candidate will play a key role in supporting the sales cycle—especially by managing bid processes, preparing responses to RFPs/RFIs, and creating compelling pre-sales documentation.

This role requires excellent communication skills, strong organizational ability, and a keen interest in AI, healthcare, and life sciences solutions. The role operates in UK time zone and involves close coordination with internal teams and external clients.

Key Responsibilities:

Bid Management & Documentation:
Prepare and manage high-quality responses to RFPs, RFIs, and RFQs
Coordinate with internal stakeholders (technical, legal, sales) to gather input for bids
Maintain a centralized repository of reusable content and past proposals
Pre-Sales Support:
Assist the sales team with preparation of pitch decks, solution overviews, and technical documents
Help align client requirements with product/service offerings
Client Engagement:
Support discovery calls with potential clients to understand their needs
Act as a liaison between client-facing and technical teams during the proposal phase
Lead Qualification:
Collaborate with marketing and sales teams to qualify incoming leads
Research and identify potential opportunities aligned with company capabilities
CRM & Reporting:
Maintain accurate lead, opportunity, and bid status in the CRM system
Prepare regular sales activity and bid status reports
Market Intelligence:
Track competitor offerings and proposal strategies
Stay updated on trends in AI, life sciences, and healthcare domains
Required Qualifications & Skills:

Bachelor’s degree required (preferably in Life Sciences, Biotechnology, Computer Science, or Business)
MBA is a plus
Minimum 1 year of experience in pre-sales, bid/proposal writing, sales support, or business development
Excellent written and verbal communication skills
Strong documentation and presentation skills
Experience in responding to RFPs, RFIs, and preparing sales collateral
Proficiency with MS Office (Word, Excel, PowerPoint)
Familiarity with CRM tools (e.g., Salesforce, HubSpot)
Ability to work independently and handle multiple bids and deadlines
Comfortable working in UK time zone
Preferred Qualifications:

Experience or exposure to AI/ML solutions
Understanding of life sciences, biotech, or healthcare industries
Knowledge of bid platforms and procurement portals
What We Offer:

Exposure to international clients and enterprise sales processes
Opportunity to work in a fast-growing AI-driven company
A collaborative and supportive work environment
Remote working flexibility and structured learning opportunities