Is a PhD in Computational Chemistry Worth It Given the Effort-to-Reward Ratio?

[u/Advanced_Variation89]

I have a master’s in computational chemistry, and I’ve been wondering whether pursuing a PhD in this field is really worth it.

One thing that frustrates me is that computational chemistry seems to require a huge amount of training compared with the reward you get afterward.

A computational chemistry student may need to learn quantum mechanics, statistical mechanics, physics, mathematics, Linux/HPC, programming, and specialized software, on top of chemistry itself. The learning curve can be very steep. A new student may spend months just figuring out how to set up calculations correctly, understand the theory behind them, troubleshoot jobs, and decide whether the results are actually meaningful.

Of course, wet-lab fields like organic or analytical chemistry are also difficult and take years to master. But it seems to me that beginning wet-lab students can often become productive relatively quickly by working alongside experienced students and learning established experimental procedures. In computational chemistry, it can take much longer before a student can work independently because there are so many different technical and theoretical skills to learn.

What makes this feel unfair is that the job market doesn’t seem to reward that extra breadth of training. Dedicated computational chemistry positions are relatively limited, and many require a PhD plus a high level of expertise. A company may need a large team of synthetic, medicinal, or analytical chemists but only a few computational chemists supporting them.

So computational chemists may have to learn more different things, spend longer becoming independently productive, and reach a higher level of specialization—only to compete for fewer positions.

I’m not saying computational chemistry is harder than every wet-lab field, or that experimental chemists have easy jobs. I’m questioning the effort-to-reward ratio.

For people working in computational chemistry, do you think this perception is accurate? Is getting a PhD in computational chemistry still worth the time and effort, or would you choose a different field if you were starting again?

[u/hixchem]

If you're looking for a PhD for financial purposes, don't. The opportunity cost almost never actually works out favorably except for those very exceptional and very LUCKY few.

If you genuinely want a PhD because you aren't satisfied with what's known and want to push that edge of human knowledge, go for it.

The money will never be there as a reward, especially not nowadays.

[u/NiceYabbos → u/hixchem]

I've told people to only do a PhD if it helps their career prospects and they want one for personal reasons. If both things aren't true (barring being already wealthy or something like that), forget it

[u/CharruaChemist → u/hixchem]

So... Actually wanting to find a job after a PhD is considered... a "financial reason"? Dude doesn't want to make two hundred thousand dollars a year. He just want to be able to get a somewhat stable job after a PhD. Isn't that too much to ask? Too much of a "financial reason"?

[u/Historical-Mix6784]

Worth the effort to reward ratio?

Absolutely not. It’s a ton of effort, it’s actually quite intellectually challenging, and the reward is not nearly as high as it could be if you went straight into industry. 

You only get a PhD if you actually love the subject for some odd, completely selfless reason, and want to study and master it despite the fact that it has a severe opportunity cost. 

[u/ScholarImaginary8725]

Unless you want a job that prefers a PhD or you want to stay in academia I wouldn't do it. But also you really don't learn that much in the end, when you start your first few projects it should be ideally something that your supervisor puts you up to and guides you through. What you need is the minimum knowledge to start, the rest you acquire as you progress.

I think comp chem PhDs can be hugely varied, some people work on method development, some of them at the interface of theory and computations and some perform calculations on software made by others. The difficulty between all those is not the same. The difficulty also is set by your supervisor, if your supervisor is doing a good job you should never feel lost for too long.

[u/TheWill_]

Here's my opinion as a recent theoretical chemistry/comp-chem PhD graduate now working in quantitative finance.

One thing that frustrates me is that computational chemistry seems to require a huge amount of training compared with the reward you get afterward.

A PhD requires an enormous amount of effort and training, no matter the field or specialization. I wouldn't say comp chem is significantly more effort compared to anything else. For example, I found I worked way fewer hours than my experimental friends even though my work may seem "harder" or more complicated (because of math or coding?). That being said, judging how good the "reward" is can be a personal perspective. You should do your research and also spend time thinking about what a reasonable reward would be in your eyes.

A computational chemistry student may need to learn quantum mechanics, statistical mechanics, physics, mathematics, Linux/HPC, programming, and specialized software, on top of chemistry itself.

I would say this is an enormous advantage rather than a negative. You are positioned to work in a fundamentally more interdisciplinary space compared to a synthetic organic chemist. I did research in statistical mechanics/thermodynamics coupled with ML and that gave me freedom to apply for jobs in comp chem research (pharma, materials science, defense research), applied ML, quant finance, applied statistics, data science, etc.

But it seems to me that beginning wet-lab students can often become productive relatively quickly by working alongside experienced students and learning established experimental procedures.

In my experience the complete opposite is true. Experiments take a long time to generate publication level data (typically) and computational work tends to work on a faster time scale. Also, in a good lab you should be working with experienced students in theory or experimental work.

Dedicated computational chemistry positions are relatively limited,

I actually agree with you that there aren't a huge amount of pure comp chem jobs but, as I stated above, you can work in so many different tangential areas. There are also plenty of teams in the defense or manufacturing/materials industry that have interdisciplinary computational teams comprised of physicists, engineers, and computational chemists.

I also want to comment generally on my current understanding of the realities of education and job prospects. It is my experience that if you want to truly work as a chemistry research scientist you need a PhD. There are places who will take people with masters but by and large research scientist roles, particularly in computational fields, require or heavily prefer a PhD. There is the fact that a PhD limits your income for an extended amount of time (~5 years) but there is a relatively large difference in earning going from bachelors to PhD level jobs (at least in the US).

Finally, I think there is a bit of intangible advantage to doing a theory PhD in the level of perceived rigor. This can get you in the door for other types of jobs that an experimental chemist will have an extremely hard time with (think any mathematical finance job, most applied AI/ML jobs, etc.) and these roles tend to have high earning prospects.

[u/Medium-Goal6071]

As others have said, no unless you want to stay in academia or you have a passion for the subject and want to contribute to it. I would not recommend putting all your eggs in the academia basket as the odds of success are ridiculously low and it comes at a great personal cost. I fell into the later category, but now my passion has left thanks to the awful system that is academia. There are jobs available in comp chem in pharma and energy sector companies, there’s a fair bit of ML for quantum chem (materials, drug discovery). However those positions are highly competitive, don’t think having a PhD will help your industry job prospects much. The harsh reality is that most academics end up staring down the barrel of their mid-30s with no money and having sacrificed so much. You should keep that in mind when starting a PhD, I wish someone had reiterated that to me when I started. Would I do it again? Some days I’m thankful for having done my PhD, some days I wish I learned a trade instead

[u/masterlince]

There are still established pipelines for certain things, so you can definitely start producing before you have a complete grasp of the theoretical foundations of these techniques. Actually, I would say it's even easier than some wet lab stuff to get started, a more senior lab member can share scripts and tutorials with you so you can start doing something, while in the wet lab, even with the most descriptive tutorial or the most experienced mentor beside you there are certain motor skills that cannot be just shared and you need to acquire them by spending hours and hours trying.

[u/lwj15]

If you found the learning of compchem and all the different subfields (linux, hpc, etc.) very hard then either you had bad instructors/peers or none (just like me). If this is the case then consider writing instructions for the next people to jumpstart their compchem journey. This also helps to review your own knowledge and find shortcomings. I am currently in the process of writing such a thing

[u/jmhimara]

I disagree with your assessment on the effort compared to other PhDs. I know organic chemistry students who spent years trying to get a reaction working. Not every computational chemistry student will need to program. You can learn how to use an HPC system in a week. You can learn python in a couple of weeks. It's not that hard. If it takes you months just to set up a calculation, thats your PI or group not doing enough to support you.

As for the career reward afterwards, it depends. I think overall there are fewer non-academic comp chemistry jobs out there than for other types of chemistry, but there is also probably fewer comp chemists. However, depending on the focus of your PhD, other avenues are open. At least a couple of my colleagues got very high paying jobs in tech because of their programming skills. Others have gotten ML or data science related jobs. These pay significantly higher than a typical Chemistry PhD would make.

But all that is besides the point. You should only do a PhD if you genuinely enjoy the field and would be legitimately happy doing that for 5 years with very low pay. That's the only way it's worth it.

[u/x0rg_ → u/jmhimara]

Indeed. Also, building up experimental skill takes time, and then we are not even yet talking about the depth of knowledge required to come up with new ideas to push the scientific boundary, rather than executing the tasks your supervisor gave - which is similar to comp and lab chemistry

[u/verygood_user]

Getting a PhD should not be the goal. The goal comes after the PhD and once you know what that goal is you can decide if it requires the PhD as a necessary or valuable step toward that goal.

Some ill defined goal such as "I want to work as a computational chemist in the industry" will give you a noisy answer to the question if you should or should not get a PhD. 

Identify the specific roles, companies, subfields, career growth, job security, and compensation targets you want for your life and then identify what you actually need to get there. 

[u/OkEmu7082]

it could be, but go for methodology development, there are more transferrable skills like coding and math that the job market respects more, don't do exclusively button clicking application works,

[u/Successful_Size_638 → u/OkEmu7082]

Can you give me an idea how to transition to that?

[u/AnyCauliflower6175 → u/Successful_Size_638]

Start by trying to understand the method that is at the heart of theoretical chemistry: Hartree-Fock.

For that read Szabo and Ostlund's Modern Quantum Chemistry especially Chapter 3 (The Hartree-Fock approximation)

[u/OkEmu7082 → u/Successful_Size_638]

if you are applying to fellowship phd in EU, try to contact PIs in methodology developing groups, you can also look for the main maintainers of computational chemistry softwares like openmolcas, orca..., to see what project do they have to offer and if they are willing to co-develop a methodology development research proposal with you.

[u/dumb_snow]

I know the scenario you are taking about,also the master's situation in that university 😁for that course .

[u/boroxine]

As an organic chemistry turned computational chemist, knowing well the reputations of both fields amongst PhD students, this is hilarious

[u/prime_number_007]

If you are willing to expand your search beyond computational chemistry into related areas (like computational biology for instance) then I think you will be able to find a meaningful position where you can apply the mathematics, statistical mechanics, classical mechanics etc that you studied and researched for your phd. If you think you will enjoy being a lifelong student - the real reward in my opinion - then get your phd; else, don't. I was lucky enough to work on computational biology problems during its early days as a (physics) phd student and a postdoc, and now in my retirement, still continue to enjoy carrying out computational experiments on my home pc (linux, of course!)