Angela Priest

I'm a data geek and process nerd who loves to build people up and help them grow. For 20 years, I've been turning chaos into order at companies across all stages of growth to ensure that their teams flourish. I'm now throwing my passion for helping people into helping PhDs, PostDocs, and Mid-Career Researchers get jobs in industry. My goal is simple: to help brilliant minds thrive outside the academic world and make real impact in their new careers.

Check out my website to learn more: www.alma.me

Co-Founder and COO

At Alma.Me, we help PhDs kick start their careers in industry through on-demand courses, online communities, networking, and resources to help them make the transition from academia to industry with confidence.

Dear Employers: Please stop listing “5+ years of industry experience” when what you actually need is 5 years of APPLIED experience.

A PhD who spent 6 years designing experiments, analyzing complex datasets, and presenting findings to skeptical committees has that experience.

They just didn’t do it inside your building.

The work is real. The skills transfer. The titles are the only thing missing.

Please write job descriptions for what you actually need, not for a vague (and often meaningless) criteria.

#phd #hiring #careers #humanresources

PhD Career Guide | Hiring Manager | 20+ Yrs Building High Performing Teams | COO @ Alma.Me

“I feel overqualified AND underqualified at the same time.”

If you’re a PhD in the job market, you’ve probably felt this.

Too experienced for entry-level. Not enough “industry experience” for mid-level. It feels like there’s no door with your name on it.

But here's how you can reframe it:

“Industry experience” on a job posting is a proxy. It’s shorthand for “can this person do the work and communicate with our team.”

You can. You just need to show it in language they recognize.

Translate your research into business outcomes. 

Frame your collaboration as cross-functional teamwork. 

Connect the dots between what you’ve done and what they need.

The gap isn’t in your skills. It’s in how they’re being presented.

👉 Are you a PhD struggling to land a non-academic job? Check out the job search program on our website: www.alma.me

We accept 2 new PhDs per week.

#phd #jobsearch #careers #stemcareers

PhDs: Here's how to write resume bullet points that actually get you interviews.

Most resume bullets I see from PhDs describe what they did:

"Conducted analysis of gene expression data."

That tells me the activity. It doesn't tell me the impact.

Here's a simple framework that works:

Action + Method + Result

"Developed a gene expression analysis pipeline (R, Python) that reduced data processing time by 40%, accelerating publication timelines for 3 concurrent studies."

Same work. Completely different signal.

A few rules:

1️⃣ Start with a strong action verb: "Developed," "Designed," "Led," "Built" 
2️⃣ Include the method, tool, or skill you used 
3️⃣ End with the outcome. Quantify if possible.
I
f you can't quantify, state the benefit: "...enabling faster decision-making for the research team."

Keep each bullet under 2 lines. If it takes more, you're probably including too much detail.

Leave room for the interviewer to be curious. That's what gets you into the room.

🔄 Pass it along - repost to help a friend :)

👉 Want help translating your academic work into industry-ready bullet points? Check out the job search program on our website: www.alma.me

We accept 2 new PhDs per week.

#phd #jobsearch #careers #humanresources

Having looked at hundreds of resumes from PhDs - the same problem comes up over and over.

The resume reads like an academic CV.

Pages of methods, publications, techniques.

And very little about what they can actually deliver for a business.

Here's the thing - the experience is there every. single. time.
Every single time.

PhDs just haven't been taught how to communicate it in a way a hiring manager understands.

That's the gap we close every day at Alma.Me

And it's exactly what I'm covering in my free workshop as part of Proteintech's Careers Week 2026:

🟣 What hiring managers actually look for on a resume
🟣 How to translate your research into business language
🟣 How to write bullet points that show impact - not just activity

📅 Tuesday March 24
🕘 9 am CST / 2 pm GMT / 3 pm CEST

Free. Live. Practical.

Register here: https://lnkd.in/dkiPUimU

🔄 Pass it along - repost to help a PhD friend

I share effective strategies for better research + writing (often with AI). 34k+ citations of my research. University Research Chair & Tenured Full Professor.

I am a tenured University Research Chair and Full Professor with 20+ years of research and teaching experience in user experience (UX) design and research focused on gamification, human-computer interaction, and generative artificial intelligence (AI). My Ph.D. research was on the scientific measurement of UX in interactive entertainment. I direct a research group and a graduate degree program at the University of Waterloo, Stratford School of Interaction Design and Business. I'm also a solopreneur and online creator, helping early-career researchers to unlock their full potential.

I have written 300+ research papers (and counting), edited the major games user research book and several high-impact conference proceedings, started a top-tier academic conference series that is now a journal (CHI PLAY), and started companies for UX research and online training. My research programmes have been funded with millions of dollars over the past decade through joint funding from major companies and the Canadian government.

Many of my papers have won best paper awards and have hundreds of citations. In addition, I run  newsletters, a podcast, write daily on social media, and am fascinated by scientific copywriting.

Besides my academic work, my mission is to make the world a better place by creating more enjoyable experiences with technology and translating academic insights into actionable strategies for everyone.

If you want to know more about my academic writing strategy and how I created this research output over my career, you can take my self-guided online courses at:

→ https://go.lennartnacke.com/chicourse

Email me at linkedin@lennartnacke.com or find me on the following social networks:

• YouTube: @lennartnacke
• BlueSky: @lennartnacke.com
• X: @acagamic
• Instagram: acagamic
• TikTok: @acagamic
• Twitch.tv: acagamic

I also have a newsletter that helps you write better academic papers: https://go.lennartnacke.com/newsletter

Lennart Nacke

You paid for skills Harvard gives away.
 
Six courses. Zero tuition. 132 hours.
 
Your research skills expire faster than milk.
 
Here are 6 courses to rebuild them:
 
1. Using Python for Research (36 hours)
 
Learn scientific computing with real Harvard case studies. NumPy, SciPy, and matplotlib libraries included.
 
https://lnkd.in/ew_QcSRj
 
Perfect for researchers who want to up programming.
 
2. Data Science: R Basics (16 hours)
 
Master R programming from scratch. Data wrangling, visualization, and analysis fundamentals.
 
https://lnkd.in/eX6dGGkX
 
Ideal starting point for statistical research.
 
3. Data Science: Probability (16 hours)
 
Build the mathematical basis for advanced research. Essential for experimental design and modelling.
 
https://lnkd.in/eG-fKH5K
 
Bridges the gap between theory and application.
 
4. Data Science: Inference and Modelling (16 hours)
 
Learn how to draw valid conclusions from data.
 
Hypothesis testing and statistical inference methods.
 
https://lnkd.in/eAHsYYi3
 
Critical for anyone designing studies.
 
5. Data Science: Linear Regression (16 hours)
 
Master the most important predictive modelling technique. Hands-on coding with real datasets.
 
https://lnkd.in/gGe-6Jhp
 
Core skill for quantitative research across fields.
 
6. Introduction to Data Science with Python (32 hours)
 
Deep overview using modern tools. Pandas, NumPy, Scikit-learn, and machine learning basics.
 
https://lnkd.in/ePH-RuVD
 
Complete foundation for data-driven research.
 
Your strategic approach:
 
Start with either Python or R basics depending on field.
Add probability and inference for statistical rigour.
Finish with regression for predictive capabilities.
 
Total time investment:
132-148 hours for the complete sequence.
 
That's roughly 1 university semester of learning.
All courses are free to audit.

But if you want the learning to land, you have to put it into real-world use.

♻️ Repost to help a struggling academic
➕ Follow @Lennart Nacke for more research tips.

📫 One system per week. 14,000+ experts.
→ https://lnkd.in/e4HfhmrH
 
#phd  #freecourses #research

AI Strategy for Expert Founders | I build the systems that turn deep knowledge into visible authority | Research Chair | 150+ scientific articles

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Angela Priest's LinkedIn Performance

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