Bioinformatics Freelancing Training

Turn bioinformatics skills into freelance work

There is steady demand for bioinformatics analysis from researchers who have data and no one to analyse it — small labs without a computational member, clinicians with sequencing results, biotech startups between hires. This programme covers the analysis skills that work is actually made of, across roughly 50 hours of material and 34 sections, making it the most extensive training on the site.

It is built around breadth on purpose. Freelance work rarely lets you specialise early: one client needs a phylogenetic tree, the next wants a protein model, the one after has docking to run. The curriculum reflects that reality.

What the programme covers

• Databases and file formats — NCBI, UCSC, Ensembl, UniProt, the PDB, InterPro and Phytozome, and the formats that move data between them. Unglamorous, and the foundation of everything else.
• Sequence alignment and analysis — pairwise and multiple sequence alignment, interpreting alignments and choosing the right method for the question.
• Phylogenetic analysis — building trees, and visualising and interpreting them without over-claiming.
• Protein databases and analysis — protein families, motif and domain analysis.
• Structure prediction — secondary structure, then full three-dimensional prediction.
• Structure visualisation and evaluation — producing figures, and assessing whether a model is good enough to build on.
• Molecular docking — running protein–ligand docking and evaluating the resulting complexes.

Why breadth is the point

A specialist who only runs RNA-Seq turns down most of the work that comes their way. The analyses here cover the requests that arrive most often, and each is taught to the point where you could take it on for someone else — which is a higher bar than following a tutorial to its end.

What you can do afterwards

You will be able to take on the common categories of bioinformatics request: retrieve and clean data from the major databases, run and interpret alignments, build phylogenies, predict and evaluate protein structures, and carry out docking studies. Just as importantly, you will know the limits of each — which is what stops you accepting work you cannot deliver.

Who it suits

Bioinformaticians who want to work independently, life-science graduates building a marketable analysis skill set, and researchers who already field informal requests from colleagues and want to do it properly. No prior coding experience is required; the tools are taught from the beginning.