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Latha P.

@lathapraba

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Life Sciences/Healthcare Subject Matter Expert

$50 USD / Hour

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India (5:49 AM)

Joined on February 18, 2009

$50 USD / Hour

PhD in Biochemistry and advanced training in Bioinformatics and Machine Learning. I specialize in supporting universities, medical colleges, and research institutes with proposal drafting, scientific writing, and compliance‑ready analytics. Demonstrated proficiency in integrating biomarker data, multi omics analytics, semantic search, and AI/ ML-enabled insights, converting intricate business specifications into scalable, high-performing software solutions. Strong background in functional design, and product conceptualisation; extensive familiarity with CDISC and FDA standards and regulations. My expertise spans complex nonclinical/clinical trial study designs, CDISC data standards, ontology management, and extrcting actionable insights from high‑dimensional pharma data. Skilled in bridging technical, regulatory, and business domains, I deliver clear, impactful solutions through data visualization, metadata integration, and regulatory alignment. Conceptual design, RFP writing

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Experience

Life Sciences Consultant

Dec, 2021 - Present

4 years, 6 months

Self -Employed

Dec, 2021 - Present

4 years, 6 months

•Supporting universities and research institutes in drafting research proposals and grant submissions. •Scientific Manuscript Review and Journal Publication Support •Reviewing, editing, and guiding scientific articles for peer-reviewed journals. •Embedding machine learning techniques within academic research workflows. •Review and enhance documentation, data dictionaries, and analysis plans to ensure clarity, standardization, and readiness for peer review or industry transfer.

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Tamil Nadu, Chennai, India

Dec, 2021 - Present

4 years, 6 months

Principal Scietific Lead cum Subject Matter Expert

Jun, 2009 - Sep, 2019

10 years, 3 months

PointCross Life Sciences

Jun, 2009 - Sep, 2019

10 years, 3 months

•Designed and supported the development and testing of Xbiom products. Integrated disparate data sources (clinical trial, nonclinical, and biomarker). •Led, reviewed, and signed off on regulatory-compliant documentation (URS, FDS, and UAT protocols). •Applied FDA and CDISC validation rules. •Orchestrated automation of legacy data transformation to regulatory standards (SDTM, SEND, ADaM). •Proficient in CDISC Controlled Terminologies and NCI Metathesaurus.

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Bangalore, India

Jun, 2009 - Sep, 2019

10 years, 3 months

Education

Post Graduate Diploma in Bioinformatics

2005 - 2005

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India

2005 - 2005

University of Madras

1999 - 2003

4 years

PhD Biochemistry

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India

1999 - 2003

4 years

Qualifications

AI Applications in Healthcare

2026

Great Learning

Certified in AI Applications in Healthcare, demonstrating expertise in applying machine learning and generative AI to medical data for diagnostics, treatment optimization, and workflow automation. Skilled in leveraging AI to enhance clinical decision-making, improve patient outcomes, and support compliance-ready healthcare solutions

2026

Mircosoft ChatGPT for Excel

2026

Great Learning

Earned Microsoft ChatGPT for Excel certification, validating proficiency in applying generative AI for data manipulation, reporting automation, and intelligent decision support.

2026

Prodegree in Machine Learning and Data Analytics

2019

Imarticus Institute

I hold a professional certification in Machine Learning from Imarticus Learning, where I gained hands‑on experience with supervised and unsupervised algorithms, model validation, and deployment techniques. The program strengthened my ability to apply ML methods to real‑world datasets, including pharmaceutical and biomedical domains, and enhanced my expertise in data preprocessing, feature engineering, and predictive analytics.

2019

Publications

Histone (H1B) oxalate binding protein in urolithiasis and bioinformatics approach

2006

Biochem and Biophys Research Communication

Rat kidney histone H1B was identified as an oxalate-binding protein with two binding sites of differing affinity. Binding is inhibited by lysine modifiers and DNA, but unaffected by RNA, and reduced in the presence of ATP/ADP. In silico modeling revealed key interaction residues (lysine121, lysine139, leucine68). Functionally, H1B promotes calcium oxalate crystal growth, with activity increasing under hyperoxaluric conditions, leading to intertwined COD crystal formation

2006

CanGeneBase (CGB)--a database on cancer related genes

2009

Bioinformation

Advances in genomics and proteomics have driven new cancer research strategies focused on gene-based diagnosis and treatment. To support this, CanGeneBase (CGB) was developed as a comprehensive database of cancer-related genes. Covering 12 cancer types with 190 curated entries, each annotated with 33 parameters, CGB provides researchers a unified platform to access detailed gene information by symbol or cancer type, enhancing discovery and early diagnosis efforts.

2009

Interconnectivity of Disparate Nonclinical Data Silos for Drug Discovery and Development

2014

Therapeutic Innovation and Regulatory Science

Pharmaceutical R&D produces vast safety and efficacy data, often stored in silos. To maximize value, the FDA–PhUSE Nonclinical Data Interconnectivity Sub-Group defined “data interconnectivity,” identified nonclinical data types, and explored challenges, opportunities, and use cases. Their work shows how linking disparate datasets enhances insights and supports drug developmen

2014

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