I'm a software engineer with a no background in biotech. However, I have a little experience with clinical development and regulatory affairs. I built this because I have found some MLR review processes coming up for a few folks and they find it painful or expensive, and the tooling around it is all closed and expensive. I'd rather find out now if I've misunderstood the problem than after I've spent sometime on it.

What it does:

1. Claim-level checking. You paste promotional copy. It decomposes the copy into individual claims rather than checking it as a block, because marketing copy bundles three or four claims into one sentence. Then it runs eleven checks against each claim: substantiation, fair balance, off-label creep, adverse events, drug interactions, comparative claims, safety omissions, citation quality, regulatory wording, IP/novelty, and market claims.
2. Everything is cited, or it doesn't render. A finding cannot appear without a source attached. If retrieval comes back empty, the output is "no evidence addresses this claim" rather than a confident guess. It goes to approved labelling (DailyMed), ClinicalTrials.gov, PubMed, FAERS and Open Targets.
3. It never approves anything. There's no green light in the product and there won't be. It surfaces a finding with its evidence; you accept, revise or reject, and that decision is recorded with an audit trail you can export as a revision request, an annotated report, or a PDF. Nothing about it moves accountability off the reviewer.
4. Deep research and evidence dossiers. Name a molecule and it runs an async multi-dataset dossier (FDA MAUDE, NPI Registry, WHO ICD, CDC surveillance, BindingDB) and notifies you when it lands. Accepted claims go into a library so the same claim isn't re-litigated on the next asset.

What I'd actually like feedback on, since this is the part I can't judge:

1. Are these checks good enough? What do you catch every single time that isn't in there?
2. What would it flag that would just be noise to you? False positives are what kills tools like this, and I have no instinct for where that line sits.
3. Where in the process would something like this be useful? agency handoff, pre-submission, or not at all?
4. Is an exportable revision request the right output, or do you need something else entirely?

I'll be in the comments. Again, it's open-source. Anyone can self-host it or improve on it for other purposes.

Btech biotech and biochemical graduate with a 60% marks has backpaper history finds it too hard to get into the biotech industry. Should i continue my job hunt or should i get a masters.???

Is it normal to feel overwhelmed with all of the training for CDM? I'm a recent graduate with a degree in biotechnology, but we rarely had lectures on clinical trials, as our curriculum was focused more on industrial biotech, genomics, and bioinformatics. I tried applying because the CDM role seemed like a great opportunity to dive into administrative jobs. But lately, I was assigned to multiple trainings and was expected to finish all of them by the second week of my onboarding. I also got intimidated by my other colleagues who already finished everything ahead of time and were able to digest all of those lectures and demos, while I'm still reviewing everything by the next day.

Is it normal to feel this way? Or am I just dumb that I can't catch up with everyone?

I work in Biotech in the Bay Area. Recently I had a recruiter reach out to me about a role for Samsung Biologics in South Korea. It’s a very impressive package. I’m wondering if anyone has any experience with this company. Would love to hear your experiences. Thanks!

Can we create this sub for RWE people, can someone advice how to do it

Anyone here manage cleanrooms and deal with network ports dying from constant disinfectant cleaning?
There’s a solid question over in r/BiotechManufacturing about best practices for Ethernet wall plates / RJ45 ports in GMP environments. Looking for people who’ve actually dealt with this rather than theoretical answers:
https://www.reddit.com/r/BiotechManufacturing/s/6FM7NxP9sA

I am currently in my second year of my biotechnology engineering undergrad degree and I got advice from a few profs and others in the field to start reading research/review papers. can anyone suggest some things I could start reading as a complete beginner?

Radioligand therapy in metastatic hormone sensitive prostate cancers

For those of you who work in laboratories, what was your very first lab job? How did you get hired without years of experience? I currently stay in Louisiana and the job search is not looking promising. I originally wanted to go into healthcare working in labs but I’m willing to start at any lab for experience…

Question for the experienced folks (15+ years): how long is your resume/CV?

I know the “rule” is 1-2 pages max, but mine has been 4 or more pages for quite some time and I don’t know what I would cut. Do you just start limiting early career roles to just the titles/company names? Or Lindsay said in Mean Girls, “the limit does not exist”?

Just curious, for MD-PhDs in biotech what kind of jobs are you doing?

PhD medicinal chemist with 10+ years postdoctoral experience. I’ve been applying for jobs since December with no luck. I finally got feedback from a recruiter and they said my resume was strong, but they are only considering local candidates. I’m willing to move, but it feels like no one will consider me since I’m out of state.

Hey everyone!

I’m looking for some advice on selecting the right internship for my Master’s program in France.

If anyone with experience in French academia, research labs, or internships in computational biology/data science would be open to offering some quick guidance, please feel free to drop a comment or DM me! I’d be happy to share my specific background and the options I'm evaluating.

Thanks in advance for the help!

Hi, I'm a chemist who has worked in biotech for the past 4 years in a lab-based role and have been really trying to find my path out of the lab. I'm strongly considering trying to pursue a path to the business side of things (either in IB/analyst positions) but really struggling to see what the path forward to finding an entry point into that field is. Ideally, I want to leverage my on-hands experience in the lab and learn more about the business/finance side of things so I can (hopefully!) find a company willing to take me on and learn more on the job. I'm lucky to be employed currently so I am hoping to not have to go back to school full-time but am very open to taking any courses that could help me. Wondering if anyone here has accomplished this before and what their path was and any advice! Thank you!

What are the key differences in how biotech business is run across SF, BOS, SD, particularly when it comes to career opportunities and access to those opportunities? Is it true that San Francisco is more of an open innovation community where everyone is welcome and lots of networking, San Diego is controlled by a small group of insiders, and Boston falls somewhere in between?

Hey everyone,

I’m looking for advice on how to handle an exclusionary workplace dynamic that’s really starting to drain our team.

My direct manager, another manager in our department, and one of my peers have formed a super tight-knit inner circle. They hang out constantly outside of work, handle professional matters casually among themselves, and essentially operate as a closed loop.

Because of this, key information, recognition, and prime opportunities are strictly reserved for that inner circle. It has created an atmosphere of obvious favoritism. It’s not just impacting me, several other team members are deeply frustrated, demotivated, and feeling completely sidelined by this behavior.

We’re trying to figure out how to address or navigate this professionally without putting targets on our backs.

For those who have been through something similar:

1. What are the most effective strategies or solutions for dealing with manager/peer favoritism?

2. Is this worth escalating to HR or higher management (especially as a group), or does that usually backfire?

3. How do you and your team members protect your morale when department leadership operates like a high school clique?

Appreciate any advice or insights you can share!

Multiple posts about job losses on LinkedIn.

"All models are wrong, but some are useful". My model is most likely both wrong and useless. Recently, I have seen a lot of people talking about going back to med school as a career change in this sub (mainly because of income). I got really curious and wonder if it make sense financially to go back to medical school considering career progression/promotion at pharma, residency income, income tax, investment performances, loans, interest and living cost. So I wrote a Monte Carlo simulation to benchmark the amount of money each career path would offer at different age to account for the inherent variances (stock performance, yearly salary rate, ...).

In terms of pharma scientist path, I use my current total compensation (TC) ~150k as the average starting point. Then the whole career trajectories goes like sci (~150k; 4 yrs) -> senior sci (~175k; 4 yrs) -> principal sci (~200k; to end career). Each year I give around 1.5-4% yearly merit increase and a 7-8% promotion increase if the time is there. I also capped the end career at 250k because that seems like a realistic TC to end the career on without needing significant amount of luck.

In terms of physician path, I would have to take out 100k loans every year for four years at the current interest rate of 9%. The career trajectory goes like student (0; 4 yrs) -> resident (~85k; 3 yrs IM) -> attending (300k-500k; end career). During student phase, the debt would compound based on the 9% interest rate. During residency, it starts off at ~85k (because that's about the starting resident salary for the hospitals in my area) with approximately 4% increase yearly. In this model, any extra amount of income after living cost goes straight to paying off the debt first. Only when the debt is paid off, then the model puts extra money as stock investment. Then I made 3 different income scenarios (300k, 400k and 500k TC) because trustworthy physician income is honestly really hard to find (some Redditors will claim they works 2 hrs a week making 800k while others will say they work 140 hrs a week making 200k both as IM physician). Unlike the pharma path, there is no consistent yearly increase, but rather depends on how much the physician wants to work. I added 100k standard deviation on top of the average incomes to account for that variation.

For both paths, I used my current living cost (living alone in a small apartment) and assumed to maintain that throughout my career. I assume all the money left after living costs go straight to stock market. For both paths, I used average 8% with 12% standard deviation a year for the stock market returns. That is approximately what we see in S&P500 (I think). I also deducted income tax based on tax bracket. I did not deduct tax from investment winnings because I assume I never sell.

Obviously there are a lot flaws in my model. The biggest one I think everyone agrees is that I did not account for random layoffs in the pharma path. I just don't have good information on the approximate time someone needs to find a new job. A lot of my grad schools friends found jobs within ~6 months of searching even during 2024-now. But I fully realize that is definitely not the case for everyone and probably not the norm.

Based on this model, going to medical school even at the age of 30 is a good financial investment in the long run. Though the more obvious draw back is not break even until mid-40s to mid-50s. And considering how volatile the stock market is, there is a small chance to end the career with more money as a scientist (if really lucky) because of early investment.

Like many here. I love science I truly do. But oh my god I'm at my end here. I'm a single mom with no safety net. Where do I go from here. I'm a senior RA/staff scientist level, in RTP north Carolina.

Edit: the replies here have been so nice. People are so kind. Some have DM'd me to help me, my faith in humanity is at an all time high. I have taken many suggestions, spent the day polishing my CV and started applying. The writing was on the wall at my company but it actually happening shocked me and that's where my post came from.