Hire the Best Bioinformatics Developers
in the United Kingdom

Hi, I'm Amir, an AI/ML Engineer and Machine Learning Developer with 9+ years of experience building intelligent systems for healthcare AI, genomics, and medical signal/image analysis. I help healthcare companies, clinics, biotech startups, and digital health platforms turn complex medical data, genomic data, physiological signals (EEG/ECG), or medical imaging (MRI/CT/X-ray), into reliable, production ready AI systems. My work spans the full stack: from research grade machine learning and deep learning models to scalable backend architecture clients can actually deploy in real clinical environments. What I bring to your project: 🔹 Genomic & Multi Omic Analysis: SNP interpretation, polygenic risk scoring (PRS), pathway analysis, drug gene interactions, and integration of lab, microbiome, and epigenetic data into unified bioinformatics pipelines 🔹 Medical Signal & Image AI: EEG and ECG signal processing (QRS detection, clustering, feature extraction), medical image analysis and classification (MRI, CT, X-ray) using CNNs, LSTMs, and YOLO based deep learning models 🔹 Full Stack AI Systems: FastAPI backend development paired with Next.js/TypeScript frontends, built with production grade security from day one: JWT authentication, data encryption, audit logging, and role based access control (RBAC) 🔹 LLM Integration & AI Agents: Multi model LLM architectures for clinical decision support, AI health assistants, and automated structured medical reporting (PDF generation, clinical summaries). I also design and build custom AI pipelines and autonomous agents using Python orchestration and multi model architectures for tasks like multi source data integration, automated decision support, and end to end workflow automation Selected work and published research: Sleep apnea detection using machine learning on wrist actigraphy signals with advanced feature extraction Skin cancer diagnosis using a reinforcement learning model, published in IEEE Autism spectrum disorder (ASD) detection system using machine learning, published in SN Computer Science Parkinson's disease and ADHD detection using CNN and LSTM based brain signal analysis Epilepsy and bipolar disorder classification using deep learning Bone fracture and lung disease detection using Inception v3 and Hough Transform Why work with me: I'm not just a model builder, I design end to end AI systems with the production, data security, and HIPAA compliance realities of healthcare data in mind, including Docker and cloud deployment. I've also published peer reviewed research in IEEE and SN Computer Science, and I serve as a peer reviewer for Frontiers in Neuroscience, so you're getting academic rigor combined with real software engineering experience. If your project involves medical signal processing, genomic or multi omic data analysis, medical imaging, clinical decision support systems, AI pipelines and agents, or building a full AI powered clinical or digital health platform, let's talk. I'd love to understand your goals and show you exactly how I'd approach it.

Extensive experience with modeling and statistics in the biomedical sciences: • pharmaceutical statistical data analysis and statistical/PKPD modelling (last 10 years) • multiple upwork projects involving statistical analysis, modelling, and machine learning since 2012 • Ph.D. in stochastic modeling of biological systems (2008-2012) Prior to this, 7 years of experience with experimental biochemistry and biophysics. B.A. Chemistry, Cornell University; M.Sc. Biophysics/Biochemistry, Stanford University; Ph.D. Mathematical Biology, Technical University of Denmark. Near-native English speaking and writing skills (technical and day-to-day conversation).

Hello there! 😊 I am a Data Scientist with a background in biostatistics, AI/ML, and business analytics, specializing in healthcare and clinical research. My experience spans pharmaceutical research, health data science, and AI-driven decision support, working across academia, industry, and startups. I bring a unique combination of statistical expertise, machine learning development, and domain knowledge in healthcare and pharmaceuticals to solve complex problems and generate actionable insights. With a Master of Public Health with Specialism in Data Science and years of experience in clinical data analysis, predictive modelling, and AI-driven analytics, I have worked on projects ranging from genomic analysis and chronic disease modelling to AI-powered decision-support systems for healthcare. My work involves designing and developing predictive models, statistical pipelines, and data-driven insights to support research, healthcare policy, and business intelligence. I have hands-on expertise with: ✅ Statistical Modelling & Biostatistics: Hypothesis testing, Bayesian statistics, survival analysis, epidemiological modelling, clinical trials data analysis ✅ Machine Learning & AI: Predictive analytics, NLP (Natural Language Processing), time-series forecasting, deep learning, transformer models, LLMs, model interpretability (SHAP, LIME) ✅ Data Engineering & Analytics: Big data processing, cloud computing (AWS, GCP, Azure), SQL, Spark, workflow automation ✅ Healthcare & Pharmaceutical Applications: Clinical data pipelines, real-world evidence (RWE) analysis, regulatory compliance, and AI in medical decision-making I am passionate about leveraging AI and data science to drive innovation in healthcare and business intelligence. My goal is to bridge the gap between complex data and real-world applications, helping organizations translate data into strategic, evidence-based decision-making. I am open to freelance, contract, and consulting opportunities, particularly in healthcare, AI-driven analytics, and pharmaceutical data science. Let’s connect and discuss how my expertise can support your project! 👉 Click the "Invite" button now, and let's embark on a fantastic working relationship! 🚀

I am a PhD-trained Human Molecular Geneticist and current Postdoctoral Fellow at the University of Leeds, UK, with more than 12 years of experience in biomedical research, scientific writing, academic editing, and genetics-based healthcare research. I have authored and co-authored more than 50 peer-reviewed publications in international journals and have successfully supervised numerous MSc and PhD research projects. My expertise spans human genetics, immunology, rheumatology, bioinformatics, precision medicine, genomics, transcriptomics, AI-driven healthcare research, and scientific publishing. I help researchers, clinicians, universities, biotech companies, and healthcare organizations transform complex scientific data into high-quality publications, grant applications, research proposals, systematic reviews, and data-driven reports. Areas of Expertise ✔ Scientific and Medical Writing ✔ Manuscript Editing and Proofreading ✔ SCI Journal Publication Support ✔ Research Proposal and Grant Writing ✔ Systematic Reviews and Meta-Analyses ✔ Bioinformatics and Genetic Data Interpretation ✔ SNP, GWAS, WES, WGS Analysis ✔ Rheumatology and Autoimmune Disease Research ✔ AI Applications in Healthcare ✔ Statistical Analysis (SPSS, R, GraphPad Prism) What I Can Deliver • Research manuscripts • Review articles • Grant proposals • NIH-style proposals • Literature reviews • Academic editing • Journal response letters • Research methodology development • Bioinformatics reports • Publication-ready figures and tables

⭐ With 7 years of experience writing code, I have developed a high proficiency in both programming and data analysis. A large part of my skillset was developed during my PhD where I created an Agent-Based computational model to investigate a novel system of protein regulation. The model was built using a combination of python and C++ scripts and designed as parallel code on a GPU for enhanced performance. Two first author papers are currently under review while a third paper has already been published in Scientific Reports. 👨‍💻In 2020/2021, I completed a software development internship at Certara – a world-class pioneer in pharmacokinetic modelling. Here, I wrote python scripts in a professional capacity as part of a multi-company collaborative project. The scripts reviewed and compiled pre-clinical information using API calls to build a curated object-orientated database. Results from the adjoining data analysis were given to clients as easy to understand data plots for intuitive data visualization. 🎓 I love taking opportunities to further enhance my ability to leverage code to address research requestions. This included completing a master’s module in Parallel GPU programming and a software development internship. I have a deep passion for both writing code and data science and I am always searching for new ventures where these skills can be applied. I look forward to bringing my diverse skills and dedication to benefit you. 📖 Portfolio: My PhD thesis is available online by searching “Lewis Hancock - Modelling complexity and redundancy in endocytic actin polymerisation”. Information about the Certara internship can be found online by searching “Lewis Hancock – Certara Simcyp”. My areas of expertise: 🔷Developing code (python, C/C++, R) 🔷Analyzing data in a methodical and appropriate manner 🔷A deep understanding of collecting primary research data 🔷Specialist knowledge in the fields of Biochemistry and Bioinformatics 🔷Addressing specific research questions through creative approaches

I hold a PhD in practical and computational biology, with a depth of experience in scientific python, data analysis, bioinformatics and task automation. Communicable, skilled and competent to complete small or large projects across a broad range of arenas including science, data analytics and automation.