Towards Bioscience Research Mentorship Program

Are you an M.Sc. graduate aspiring to pursue a Ph.D. but lacking hands-on research experience, even published works ?
The Towards Bioscience Research Mentorship Program is designed to bridge the gap, guiding you from research concept to publication with expert mentorship.

About Us

  • Independent Research & Mentorship Platform: Led by group of experienced researchers with multiple publications and editorial board experience.

Who Should Join?

  • M.Sc. graduates aiming for Ph.D. positions.

  • Early-career researchers seeking to generate publishable work.

  • Students interested in bioinformatics and interdisciplinary research.

  • Learners eager for international exposure and networking opportunities.

Program Highlights

1. Research Foundations

  • Learn how to write a research proposal and define research objectives.

  • Understand how to find gaps in literature.

  • Explore research methodologies and best practices.

  • Weekly mentorship meetings with personalized guidance.

2. Project-Based Learning

  • Assignment of small, manageable research projects based on your skills.

  • Work package structure (literature review, dataset preparation, analysis, results, manuscript).

  • Hands-on experience with bioinformatics tools, data analysis, and figure preparation using BioRender.

3. Mentorship & Support

  • Weekly or biweekly progress meetings.

  • Continuous feedback on research work and writing.

  • Guidance on presenting work at virtual conferences and lab meetings.

  • Mentorship tailored to your skill level and career goals.

4. Publication & Preprint Opportunities

  • Opportunity to prepare review articles or original research papers.

  • Guidance for journal selection, manuscript drafting, and submission.

  • Preprint posting (bioRxiv / OSF) to strengthen your academic profile.

  • Co-authorship based on contribution, following ethical research practices.

Program Duration

6–8 months, structured for maximum learning, productivity, and research output.

Fees & Payment Options

Total Fee: Depends on the project structure and country. This will be decided after a proposal is fully established. On an average the total fee will be £500 to £800.
Payment Installments Available:

  • 3 Installments: 40% at enrollment, 30% at midpoint, 30% at 2/3rd completion.

  • 2 Installments: 50% at enrollment, 50% at midpoint.

  • Monthly installments available on request.

Dropout Policy:

  • Leaves within 30 days: 50% refund.

  • Leaves after 30 days: no refund (project and mentorship effort already invested).

  • Certificates and project materials provided only upon program completion.

Why Choose Us?

  • Expert mentorship from an active researcher with publication and editorial experience.

  • Structured program with real research output.

  • Personalized mentorship and global exposure.

  • Affordable pricing with flexible payment plans.

Certificate

Upon successful completion, participants receive a Certificate of Completion under:

Towards Bioscience

  • Highlights research project completed.

  • Suitable for CVs, PhD applications, and professional portfolios.

How to Apply

Write an email to: towardsbioscience@outlook.com including the Project Theme Code (Mentioned below), with a motivation letter and CV.

Project themes will be updated. Informal applications are also welcome. In that case please write to us mentioning a specific research domain you are interested in.

Research Theme 1 : Plant Bioinformatics (Code TBPB25). We are actively seeking a highly motivated research trainee to join our Towards Bioscience initiative to work on a cutting-edge computational project titled "In Silico Modelling of the 2′,3′-cAMP–RBP47B Interaction under Heat-Stress Conditions". This project aims to address a critical gap in plant stress biology by using molecular modeling to understand how the metabolite 2′,3′-cAMP interacts with the RNA-binding protein RBP47B to trigger stress granule formation in Arabidopsis thaliana. The trainee will gain practical experience in key computational techniques, including predicting protein structure using AlphaFold2 , performing molecular docking with AutoDock Vina/CB-Dock2 to identify binding sites , and phylogenetic analysis to determine conservation. Success in this short-term project (structured for rapid results) is intended to lead directly to a co-authored publication, providing a substantial advantage for future Ph.D. or high-level research applications, with submission guidance provided by an editorial board member.