As someone who did Bachelors in Microbiology followed by Masters in Computational Biology (followed by a PhD and a postdoc) - it really helps if you learn to code. This does not mean that you HAVE to do edx or coursera courses on bioinformatics, but they do help if you complete them. You can also look into Rosalind (https://rosalind.info/problems/locations/). As the other user mentions, you would typically need to atleast complete a PhD followed by a Masters to be considered for a lecturer position.

Having the goal of becoming a lecturer sounds too naive to me at this point, given your profile and the lack of any bioinformatics experience. I would only go down this path only if you are genuinely passionate about bioinformatics.

You have a unique and valuable background which combines education expertise with science and it is exactly the field needed to bridge the current training gap. To answer your specific questions:

1. The CS Bridge: Harvard’s CS50 is an excellent starting point. Beyond that, focus heavily on Data Structures and Algorithms, as these are the biggest hurdles for life scientists entering Master's programs. Understanding how data is stored and manipulated is key to "thinking like a developer."
2. Language Priority: Start with Python. Python's general-purpose nature and dominance in Artificial Intelligence (AI) and Machine Learning (ML) workflows makes it more versatile for a career in teaching and building modern bioinformatics tools than R required for statistics
3. The Lecturer Path: While your pedagogy background is a huge asset, University hiring committees still prioritize a strong research track record and research credibility (PhD/Postdoc) for employment.

Bridging the Gap:

The rapid advancement of biotechnology has outpaced traditional educational methods. We need more 'biologist-led' development. For a practical example of this, you can check out these 17 pre-configured pixi environments for microbial genomics—I built these specifically from a biologist’s perspective rather than a pure developer’s --- Tool:17 pre-configured pixi environments for microbial genomics — built by a biologist, not a developer --- 17 pre-configured pixi environments for microbial genomics — built by a biologist, not a developer

I’ve written more about the need to train biologists for the AI revolution in the two posts referenced below, which might give you more context for your career transition. Good luck!"

Part 1: Bioinformatics and Biotechnology — We Built the Revolution But Forgot to Train Biologists in Its Use --- https://www.linkedin.com/posts/bharat-p-237b426_bioinformatics-biotechnology-molecularbiology-activity-7449997541322153984-kyxD?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAE8dssBg5lcaBN9DkZnXbBvr_uTAREXsSU

Part 2: AI in Biotechnology and Bioinformatics — Are We About to Repeat the Same Mistake? --- https://www.linkedin.com/posts/bharat-p-237b426_bioinformatics-biotechnology-aiinscience-activity-7450011260458307584-4Lwk?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAE8dssBg5lcaBN9DkZnXbBvr_uTAREXsSU

Teaching science at universities means you have to be a proven scientist, and that involves a PhD and Postdoc experience, paired with a strong track record. I do not think a prior teaching degree adds any formal value. Lecturer positions are permanent positions, which are rare, and there is very competitive selection. It might be different in other fields and countries, but in life science including bioinformatics, in the Western world, you have to go the full track of PhD/Postdoc and establish yourself as a proven scientist to even remotely be considered for such a position.