Biotech Career Coach

Panel interview tips for biotech jobs, from a recruiter who sits on the other side of the table.

Who is on your interview panel, what should you ask each person, and what do you say when the CEO, the head of HR, or a salary question shows up?

In this episode I answer the interview questions I hear most in our community, in one-on-one coaching, and in office hours. When I say panel interview, I mean the final round: a group of interviewers, usually one-on-ones, sometimes after a talk, and often with someone from upper leadership.

Every person on your panel is chosen on purpose, because panels are expensive. They care about what you can do for them. Once you know each person's pain point, the panel becomes an open book test.

In this episode you will learn:

• The 5 interviewer types on a biotech interview panel and what each one cares about
• How to use your panel list, titles, and LinkedIn to prepare for each person
• Questions to ask your hiring manager and your future teammates
• What to talk about with a CEO at an early stage biotech
• How to answer "Are you interviewing elsewhere?" without hurting your chances
• How to answer salary expectations without naming a number
• Why posted salary ranges are so wide, and where recruiters usually aim to hire

For answers to questions like these and many more, join our Biotech Career Coach Skool community. Start with a 7-day free trial.

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

Chapters:

• 00:00 Panel interview tips for biotech jobs
• 00:47 What a panel interview really is
• 01:36 Who is on the interview panel and why
• 02:08 The 5 interviewer types on every panel
• 05:47 Panel interviews are an open book test
• 06:24 Questions to ask each interviewer
• 08:08 How to talk to the CEO or an executive
• 11:00 How to answer are you interviewing elsewhere
• 14:24 How to answer salary expectations
• 18:02 Join the Biotech Career Coach Skool community

If you are in the job market and wondering how to use AI for your job search, come along and build your own AI job search engine with me in a Claude project. Learn by doing is the best way to learn anything. By the end, you'll have a project you can talk about coherently when you're asked how you actually use AI, and it might spark ideas for other projects in your life.

I build it live with Claude Projects for our fictional candidate, Alex. This automated job search finds jobs every morning, lets me approve or pass on them, drafts a tailored resume and cover letter I can edit right in Claude, and stages LinkedIn networking with connection notes and coffee chat invitations. I never auto-send anything. It's drafts and open tabs only, and it learns from what I actually send.

Alex's resource guide (template resume, tailored resume, cover letter, and job description):

https://biotechcareercoach.com/alex/story

Get the whole template for this project in the AI project in our Biotech Career Coach Skool community classroom. Steal the project files, build your own, and get your done-for-you resume. 7-day free trial.

https://www.skool.com/biotech-career-coach/about

Wispr Flow free month (my number one productivity tool):

https://wisprflow.ai/r?CARINA1

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

00:00 Build your own AI job search engine

01:08 What you need, the Claude plans

02:22 Starting a Claude project

03:38 Adding Alex's resume and job as context

05:45 Giving instructions for the job search engine

09:02 Watching the threads work

10:55 When a thread needs you

12:07 Networking formulas and the LinkedIn tracker

14:21 Using my existing LinkedIn automation

15:25 A morning leads artifact instead of Notion

17:17 Editing the tailored resume and cover letter in a Claude doc

18:44 You must check every bullet for accuracy

21:34 Formatting the PDF and Word versions

22:53 Alex's Morning Leads dashboard

24:31 Approving a job, the dry run

28:10 LinkedIn networking, never auto-send

29:20 How long it took

31:42 How to show you're AI literate in interviews

33:05 Turn off model training in Claude

What is the best AI for your resume and cover letter? This is the second run of my resume scoring model bake-off. I did two things this time. First, a catch-up run of 18 models that are still widely used, including versions a step or two back that are often cheaper to use on a free plan or a $20 a month plan, plus more open weight models. Second, a head-to-head of brand new, state-of-the-art, expensive models that dropped in the last week or so.

Every model got the same prompt and the same inputs for our test candidate, Alex Clearwater, a PhD and postdoc moving into industry pharmacology, applying to a fake job at a fake company. I scored each resume and cover letter on the headline, highlights, formatting and organization, tailoring, and the cover letter. Then two AI judges (Claude Opus 5.5 and GPT-5.6 Sol) scored accuracy, checking every bullet against the template resume for anything made up or overstated, and Jev checked 13 yes or no rules.

The AI models tested (30 in total across both parts):

Catch-up run, 18 older models:

• OpenAI: GPT-5.6 Sol, GPT-5.5, GPT-5.4

• Anthropic (Claude): Claude Opus 5, Claude Sonnet 5, Claude Opus 4.8, Claude Sonnet 4.6

• Google: Gemini 3.7 Flash, Gemini 3.5 Flash, Gemini 3.1 Pro Preview

• xAI: Grok 4.6, Grok 4.5

• Open models: DeepSeek V4 Flash, DeepSeek V3.2, Llama 4 Maverick (Meta), Qwen 3.8 Max Prime, Kimi K3 (Moonshot), GLM 5.3 (Z.ai)

New run, 6 new models:

• OpenAI: GPT-6.1 Sol

• Google: Gemini 4 Argon

• Meta: Muse Wonder

• Mistral: Mistral Large 4

• Qwen (Alibaba): Qwen 3.8 Max

• DeepSeek: DeepSeek V4.1 Flash

From Part 1, shown for comparison:

• GPT-6 Sol, Claude Opus 5.5, Claude Sonnet 5.5, Gemini 3.8 Flash, Grok 4.7, DeepSeek V4 Pro

In this episode you'll learn:

• How older, cheaper, and open weight models compare to the newest AI models for resumes and cover letters

• Why a resume can look great and still have major accuracy problems

• Why some models write well but aren't accurate, and vice versa

• When it might be worth using a different model for your cover letter

• The cover letter habits I flag: telling the company what it wants, language that sounds like a weakness, passive closers, and very long sentences

• Whether newer models are better at following instructions

See every output side by side, plus the job, the template resume, and the example tailored resume and cover letter, at models.biotechcareercoach.com. It also has a guide to which model to use if you're a Claude user, a ChatGPT user, or want an open weight model.

https://models.biotechcareercoach.com/

Missed Part 1? Watch it first to see how I set up the whole model bake-off test: Best AI for Resume and Cover Letter, Which Model Wins? [LINK]

Want my help with your resume and cover letter? Join our Biotech Career Coach Skool community and work with me directly. It is $9 a month with a 7-day free trial.

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

Chapters

00:00 Best AI for resume and cover letter, Part 2

01:03 How the AI resume test works

01:39 How I score the resume headline, highlights, and tailoring

02:56 Catch-up run, 18 older and open weight AI models

09:30 AI cover letter mistakes that sound arrogant or weak

11:27 What a strong AI cover letter opener looks like

16:05 Why long sentences hurt your cover letter

18:03 The reveal for the catch-up run

18:43 AI judges check resume accuracy and hallucinations

19:49 Jev rule checks for instruction following

22:16 Why a great looking AI resume can still be inaccurate

24:15 Older AI models vs last week's frontier models

25:29 Newest AI models head to head

30:23 The reveal for the newest models

32:15 Human scores vs AI judges on the new models

33:28 Compare AI resume outputs side by side

34:46 Should you combine AI models for resume and cover letter

What is the best AI for your resume and cover letter? I tested 6 AI models blind, one from each major model family plus an open weight model, to see which one tailors a resume to a job description the way a recruiter wants to see it.

I get asked every week which AI to use for resume tailoring: ChatGPT, Claude, Gemini, or Grok? Free or paid? So I ran an experiment. Every model got the same template resume, the same job description, the same example tailored resume and cover letter, and the same prompt. I scored each output blind, then compared my scores with two AI judges (Claude Opus 5.5 and GPT-5.6 Sol) and Jev, a yes or no decision API that checks rules like headline format and a one-page cover letter.

The AI models tested:

• Claude Opus 5.5 (Anthropic)
• Claude Sonnet 5.5 (Anthropic)
• Gemini 3.8 Flash (Google)
• GPT-6 Sol (OpenAI, ChatGPT)
• Grok (xAI)
• An open weight model

I also share what each one costs and how fast it runs, so you can decide if paying for AI is worth it.

In this episode you'll learn:

• Which AI model is best for tailoring a resume to a job description
• ChatGPT vs Claude vs Gemini vs Grok for resumes and cover letters
• Whether free AI models are good enough for job applications or worth paying for
• What a strong resume headline and highlights section look like to a recruiter
• The AI writing habits that make a cover letter unusable
• Why my human scores disagreed with the AI judges

See every output side by side, plus the template resume, job description, and example inputs, in the Model Bake-Off on the Biotech Career Coach website under Learn.

https://biotechcareercoach.com/

Want help tailoring your biotech resume and cover letter? Join our Biotech Career Coach Skool community for the portal, resume reviews, and interview prep. It is $9 a month with a 7-day free trial.

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

00:00 Which AI should you use to tailor your resume

01:15 How the blind AI resume test works

03:45 Inside the Model Bake-Off app and answer key

07:00 Scoring the resume headline and highlights

15:35 The AI cover letter I would submit with no edits

21:35 AI cover letter mistakes that fail the vibe check

26:50 Human scores vs AI judges and Jev rule checks

29:50 The reveal, which AI model wins

32:45 Free vs paid AI models for job applications

34:35 Compare AI resume outputs side by side

Wondering how to follow up after a job interview when all you hear is silence? In this episode, I answer the questions I get most about following up after an interview, from my one-on-one clients, outplacement clients, Skool community, and the people I give feedback to in my portal.

I'm a biotech recruiter and career coach. A typical scientist or senior scientist role used to bring in 100 to 150 applicants. Now I see 500 to 700. Recruiters are stretched thin, and the silence after your interview might not be about you at all.

In this episode:

- Do you need to send a thank-you note after an interview, and who actually reads it

- Why the hiring manager cares more about your thank-you note than HR or the recruiter

- When a thank-you note can tip the scales between two equal candidates, and why it won't rescue a bad interview

- How often to follow up after a job interview: one thank-you note, two follow-ups 7 to 10 days apart, then stop

- What it means when the recruiter said you'd hear back by Friday and you didn't

- Why some companies keep backup candidates warm for weeks, and how biotech hiring is different

- Ghost jobs and roles posted for internal candidates, and why together they can add up to about half of job postings

- Why being ghosted after a real conversation is a sign of a disorganized hiring process

- Why you should treat every application and interview as if you didn't get the job, and keep your job search moving

Mentioned in this episode:

- How to Stop Overthinking and Start Making Career Moves: https://podcast.collaboratorycareerhub.com/podcast/how-to-stop-overthinking-and-start-making-career-moves-in-five-easy-steps-c7b050f2-7012-48b7-98a4-19

Waiting to hear back and starting to spiral? Join our Biotech Career Coach Skool community. You'll be surrounded by people working on their job searches, get direct access to me, and get personalized feedback on your application materials in our portal.

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

Can you go straight from PhD to industry? The answer is yes, but you need to learn to market yourself.

If you have heard how hard the job market is and wonder whether you should stay in academia until it gets better, this episode is for you.

Biotech recruiter and career coach Carina Clingman shares the story of a community member who finished her PhD in Germany, moved to the US with her partner without a job, and worried her visa situation would make her unhireable. She networked hard, stayed motivated, got interview prep for every interview, and reviewed her interview transcripts question by question. She just accepted a scientist role at a biotech.

In this episode you will learn:

• When a postdoc is a valid path, and when going straight to industry makes sense
• Why saying "we" about your research hides your unique contribution from hiring managers
• How STAR storytelling (situation, task, action, result) helps you answer interview questions with confidence
• Why a CV is not a resume, and why your resume needs to read like a marketing document
• Why most certificates do not impress hiring managers, and how to get hands-on experience instead
• How many publications you actually need for most industry roles
• Why to start applying about 90 days before you can start working
• Why to start networking six months or more before your graduation date

Carina also suggests checking your grant funding, since some grants have career development built in and you may have unused funds.

Ready to practice interviews, get feedback on your interview transcripts, and build industry connections alongside other scientists? Join the Biotech Career Coach community on Skool. Start with the networking challenge, which is introvert-friendly and created by scientists for scientists. You can try it with a 7-day free trial.

• Join the Biotech Career Coach Skool Community

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

Chapters:

• 00:00 Can you go straight from PhD to industry
• 00:25 Postdoc or industry job for international PhD students facing visa sponsorship
• 00:55 How a PhD graduate landed a biotech scientist role with interview post-mortems
• 02:05 Why saying we in interviews hides your individual contribution
• 02:55 STAR storytelling for PhD interview answers
• 03:30 A CV is not a resume for industry jobs
• 04:00 Do certificates or more publications help you get an industry job
• 04:40 Volunteer in a lab or early-stage company to gain hands-on experience
• 05:25 When to start applying for industry jobs before your PhD defense
• 06:00 Network six months before graduation to find hidden job leads

Your job search is a marketing campaign, and you are the product. In this episode, biotech career coach Carina Clingman shows you how to build a resume and cover letter that get past the software and win the six second scan.

This is seminar one of a three part series Carina teaches for her outplacement career transition clients. She takes you inside a recruiter's applicant tracking system, where a single biotech role can draw 400 applicants, and shows how she narrows that pile down to the ten people worth a conversation. You will see why tailoring and keyword mirroring decide whether a human ever reads your resume at all.

What you will learn:

• Why a resume is a marketing document, not a career archive or a CV
• The four things every resume needs to survive the six second scan
• How recruiters use Boolean and reverse keyword searches to cut applicants
• How to mirror a job description so a recruiter reads you as one of us
• The five professional highlights that work like a movie trailer for your experience
• Where to place degrees, publications, and skills for the most impact
• The T style cover letter hiring managers love and the three questions it must answer

By the end you will treat every resume, cover letter, and LinkedIn message as a marketing message with one job, to make a hiring manager care about you.

Watch for parts two and three, on LinkedIn and interviews, in the coming weeks.

Want Carina to build your resume and cover letter with you? Join the Biotech Career Coach Skool community and get access to the brand new Biotech Career Coach app.

Join here:

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

00:00 You are the Chief Marketing Officer of your own job search

04:25 Inside a recruiter's inbox with 400 applicants

06:30 How Boolean and reverse keyword searches cut your resume

07:30 Build your resume like a persuasive essay

09:02 The above the fold rule and mirroring the job description

11:30 Five professional highlights that work like a movie trailer

13:26 Where to put degrees, publications, and skills

16:39 The T style cover letter and the three questions it answers

19:00 Opening a cover letter with a personal story

22:19 What is coming in parts two and three

Most bench scientists think breaking into computational biology means going back to school. Dean Lee proves otherwise. Dean went from neuroscience PhD student at Harvard to Principal Computational Biologist at Novartis by teaching himself to analyze scRNA-seq data in stolen scraps of time alongside his bench job, and now he helps thousands of scientists make the same move through his online community Dean's List.

In this episode, Dean and Carina break down exactly what it takes to build real computational biology credibility without another degree, without quitting your job, and without waiting for someone to hand you permission.

You'll learn:

• Why Coursera certificates don't move hiring managers and what actually does
• How to find public biological data and build your first comp bio project this week
• The reproducibility strategy: why re-analyzing a published Nature paper is an industry skill and your best portfolio move at the same time
• How to pitch yourself as a funded intern through the Massachusetts Life Sciences Center to break into small biotech startups
• The state of entry-level comp bio hiring in 2026 and where the openings actually are
• How to frame volunteer work and self-directed projects on your resume so hiring managers take them seriously

Whether you've been thinking about this pivot for years or you're just starting to wonder if it's possible, this conversation gives you the roadmap.

• RNA-Seq and ScRNA-Seq Courses
• How to become a computational biologist in a year
• The Big Challenge... With Dean Lee
• Dean's List
• Link In with Dean!

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

00:00 Dean Lee's path from Harvard neuroscience to computational biologist at Novartis

04:00 The volunteer scRNA-seq project that launched Dean's career pivot

07:30 Why hiring managers ignore certificates and look only for project work

12:00 How reproducing published research builds irrefutable portfolio proof

21:30 The MLSC funded intern hack for breaking into biotech startups

26:30 The 2026 comp bio job market and where entry-level roles actually exist

30:00 How to transition into computational biology within your current company

33:00 Operational AI vs scientific AI and what it means for your comp bio career

AI agents, skills, and automations. You keep hearing these terms, but nobody has clearly explained what they mean for someone actually working in biotech. In this episode, Carina sits down with Stu Angus, founder of Scriptome.AI and an AI consultant who works with small biotech companies every day, to break down exactly what each of these tools is, when to use one over another, and why getting this wrong leads to a lot of wasted time.

Stu has 15 years of experience in biotech R&D and business development. He now helps small biotechs bridge the AI adoption gap that has opened up between them and big pharma, and he built Pavlov GPS, a free searchable database of 500+ AI tools for biotech R&D. If you have felt pressure to add AI to your workflow but had no idea where to start, this episode is the clearest, most practical answer you will find.

What you will learn in this episode:

• The real difference between an AI skill, an agent, and an automation, and when to use each
• Why small biotechs are getting left behind on AI adoption and what that means for your career
• How to tell if your workflow is a good candidate for an agent or if a simple skill would do the job
• The “AI Slop cannon” problem and how to avoid automating your way into a mess
• How a team of five agents can wake you up every morning with tailored job applications already drafted
• Why Whisper Flow is the most underrated AI tool for bench scientists right now
• How Stu built Pavlov GPS starting from a spreadsheet, and how you can do the same with your own data

Stu also weighs in on Copilot vs Claude, shares a spicy take on the most overhyped AI tool in biotech today, and tells us what he thinks every biotech professional will need to know how to do within five years.

[email protected]

• Meet your AI team | Notion
• Wispr Flow
• 2026 Biotech AI Report | Benchling
• The Fast and the Curious — AI Upskilling for Biotech Scientists
• Pavlov-GPS | AI Tools Navigator for Biotech R&D
• Scriptome.AI

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

00:00 What the AI adoption gap in biotech actually means for your career

03:00 How small biotech companies are navigating board-level AI pressure with no roadmap

06:00 Big pharma vs small biotech and why the AI strategy divide is widening

07:30 Copilot vs Claude and how to advocate for the AI tools you need at work

12:00 How to develop a builder mindset and spot workflows worth automating

13:30 How a five-agent job search system handles company research and resume tailoring automatically

15:00 Agents vs skills vs automations defined for bench scientists with real examples

21:30 The slop cannon trap and how to avoid automating your way into low-quality output

27:00 What the Benchling 2026 AI report reveals about where AI is actually working in biotech R&D

29:30 How to build an AI tool from a spreadsheet using Pavlov GPS as a model

Are you walking into biotech panel interviews and talking to every person the same way? That approach can cost you the offer, even if your science is solid.

In this episode, Carina Clingman and returning guest Stacey Tannenbaum, PhD break down how to build rapport with each type of interviewer you'll meet on a panel day, from the VP who hasn't read your CV to the peer scientist who feels threatened by what you bring to the table.

In this episode, you'll learn how to:

• Talk to senior leaders about strategic impact instead of getting stuck in technical details
• Show hiring managers you want this specific role, not just any job, and why that distinction is the number one thing they evaluate
• Recognize the three reasons peer interviewers become skeptics: fear of change, territorial expertise, and feeling intimidated by what they don't understand
• Use empathy, curiosity, and "I need your help" to turn resistant colleagues into allies
• Frame your science in terms that matter to cross-functional interviewers from other departments
• Ask better questions at every stage to make interviews feel like a two-way conversation
• Leverage your hiring manager as an ally to get intel on difficult personalities before you walk in the room
• Use presentation techniques like reading facial expressions, spotting "thought bubbles," and asking for feedback to build real connection during job talks

Stacey has spent 20+ years leading teams in pharmacometrics at companies including Astellas, Metrum Research Group, and Novartis. She's sat on both sides of the interview table and now coaches scientists and technical professionals on communication and leadership through her consultancy, SJTPharm LLC.

Whether you're preparing for your first biotech panel interview or your tenth, this episode gives you a practical playbook for winning over every person in the room.

Connect with Stacey: https://www.linkedin.com/in/stacey-tannenbaum-phd-fisop/

Learn more about the Collaboratory Career Hub community and access our free resources:

Join our Skool Community

Take the Free 7-day Interview Sprint Challenge

Check out our sister podcast: Building Biotechs

Send Carina a connection request on LinkedIn!

Stay connected with us:

🌐 Website

📱 Facebook

📷 Instagram

💼 LinkedIn

00:00 How to build rapport with different interviewer types in biotech

01:30 Why panel interviews require you to context switch between personalities

02:30 Talking to senior leaders without getting stuck in the technical weeds

05:00 Showing strategic impact when you're two or three levels below the VP

06:00 Using the job description as your North Star for every interview conversation

08:00 How to stand out when every early career CV looks the same

09:00 Building rapport with the hiring manager from the first screening call

11:00 Why telling your career story beats reading your CV out loud

13:30 The number one reason hiring managers reject candidates after screening calls

16:30 Why interviews are like dates and how to interview the company back

19:30 Why peer scientists are actually the scariest people on the interview panel

21:00 Three reasons peer interviewers become skeptics in your interview

24:00 Using empathy and "I need your help" to break down resistance

28:00 The "I thought that too" technique for handling pushback without getting defensive

31:00 Leveraging your hiring manager as an ally and getting intel before interview day

33:00 Planting questions and finding allies during your job talk

35:30 Reading the room and calling out thought bubbles in small group presentations

37:00 How to ask for feedback after a presentation the right way (Adam Grant method)

39:00 Building rapport with cross-functional and culture carrier interviewers

43:30 Translating your science into language that matters to other disciplines