INFOPARK

Junior Business Analyst

Job Description

Responsibilities :



Works with Clients define high-level requirements and capture business needs.
Demonstrating the Products to the prospective customers.
Working independently and jointly in unstructured environments in a self-directed way.
Explore, analyze and utilize various software platforms from an end-user perspective.
Coordinating with Development and Testing teams.
Manage multiple tasks at once to meet demanding deadlines.
Developing functional and non-functional requirements.
Attending management status meetings.
Schedule and make sure all sprint ceremonies are done in timely and effective manner
Make sure all the FRS documents are ready and sign off is received before sprint start date
Review and approve test cases
Flexibility and availability of client calls are essential to meet client needs effectively.


Desired Skills :

Excellent critical thinking and problem-solving skills.
Good written and verbal communication skills.
Detail-oriented with strong organizational skills.
Experience with Microsoft Office tools.

Experience and Qualification :

Freshers
2024/2025 pass out -B.Tech/MCA/MBA(Computer SCience/ IT /Biotechnology)

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

Data and Computational Biology Scientist

Job Description

Key Responsibilities
Help refine, develop, and build the data analytics and computational strategy for ThinkBio.Ai
Develop and apply computational/statistical methods to analyze various inhouse and externally sourced data including those related to biological experiments or human population parameters such as disease burden, genetic variation, cause-effect association etc.
Analyze complex multi-omics data sets across various parameters and connect insights and observations to actionable hypotheses.
Synthesize provided data into actionable insights by supporting any needed computational, statistical, machine learning or modeling capabilities needed to enable strategic decision making and advance our clinical and research programs.
Develop and apply tailored data analytical and computational methods/techniques to advance both our clinical and research programs.
Develop novel computational platforms and pipelines to identify novel therapeutic targets, and to discover biomarkers for drug response, patient stratification
Ability to integrate validated data analysis tools and pipelines from public resources to create robust data analysis and interpretation pipelines for visualization and integrative analysis, and interactive dashboards to create insightful visualization and interpretation of data.
Work closely with other team members and partners to identify most critical data centered challenges and address them using cutting-edge computational, statistical and machine learning applications.
Required Qualifications and Skills
Ph.D.in Computer science, Data science, Statistics, Bioinformatics or related fields.
10+ years’ experience and technical expertise in applied bioinformatics, computational biology, data science or biostatistics.
Robust working knowledge and application of data analysis and modeling, data wrangling and data visualization.
Firm grasp of modern statistical methods and machine learning techniques, and their applications to large-scale, high throughput dataset analysis.
Proficiency with R/ Bioconductor, Python or equivalents, and relational databases (SQL, NoSQL).
First-hand experience in multi-parametric data mining, analysis and visualization in any biomedical application.
Exposure to multi-parametric data mining experience for disease stratification/endotyping, target identification and biomarker analysis.
Experience and understanding of how bioinformatics and data science can best be applied to speed up drug discovery.
Basic understanding of biological concepts and a familiarity with drug development process
Knowledge of bioinformatic tools and databases to analyze genomics and proteomics data
Ability to manage projects with minimal supervision, using creative and analytical thinking.
Ability to drive highly collaborative work across the organization and outside the company
Excellent oral and written communication.
Desirable Additional Experience
Experience in one or more of the following areas is highly desirable, but not essential.

Deeper knowledge/training/experience in biomedical field.
A minimum of 1-year research (academia or industry) experience.
Demonstrated experience in deep learning and generative AI model based approaches such as bioinformatics foundation models (BFMs).
Experience in genomics, transcriptomics, Next Generation Sequencing (NGS) analysis, single cell RNAseq, flow cytometry or IHC based data processing.
Experience working with one or more of the following disciplines: synthetic biology, comparative genomics, population genetics, probabilistic modeling, population genetics, and quantitative modeling of biological systems.
Experience with one or more of the following: P Snakemake, Nextflow, airflow, CWL, relational databases (SQL), GraphQL, distributed computing (AWS/Google Cloud), Docker, software version control (git).
Managing a data analytics and computational operating model that encompasses processes and technologies for executing scalable data management solutions for various data types.

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.

AI/ML Engineer

Responsibilities

Download, clean and organize datasets

Implement deep learning models as per given specifications

Read and present latest papers on deep learning architectures

Setup deep learning foundation models for biological applications

Implement data models as per given specifications

Implement various visualization methods for large scale data

Work closely with other team members and partners to identify most critical data-centered challenges and address them using cutting-edge computational, statistical and machine learning applications.






Requirements
Required Qualifications and Skills:
1 – 3 years of experience and technical expertise in AI platforms, data platforms, deep learning models
Solid understanding of computer science fundamentals

data structures: trees, directed and undirected graphs, hash tables, heaps

algorithms: search, sort, rank, graph based algorithms

Solid understanding of statistical/mathematical concepts

probability theory

correlation metrics

Bayesian probability

Statistical regression methods

Proficiency in Python, C, C++

Expertise in AI frameworks: PyTorch, TensorFlow

Expertise in packages like matplotlib, pandas, seaborn

Firm grasp of modern statistical methods and machine learning techniques, and their applications to large-scale, data

Ability to drive highly collaborative work across the organization and outside the company

Excellent oral and written communication skills

Data Analyst

Job Description-Data Analyst

We are looking for a Data Analyst with 1–2 years of hands-on experience in Power BI and SQL. The ideal candidate should possess strong skills in both tools, along with a solid understanding of data analytics, reporting, and business intelligence.
Responsibilities:
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Work with the management to prioritize business and information needs.
• Locate and define new process improvement opportunities.


Required Skills and Qualifications:
• 1–2 years of experience in Power BI
• 1–2 years of hands-on experience in SQL
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills
• MBA graduates are preferred for their strong background in statistics and business analysis
• Familiarity with any of the following tools/platforms:
o Tableau
o Databricks
o Python
o AWS Data Environments
o Azure Data Environments

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